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Remarks from Invited Editor in Chief LI Peng, SHU Shengwen, QIU Zhibin Hunan Electric Power    2024, 44 (3): 1-2.   Abstract （114）      PDF（pc） （1569KB）（612）       Knowledge map    Save Related Articles | Metrics

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Research Progress on Safety Performance Improvement of Lithium-Ion Batteries HE Dan, HU Xiongxiong, CUI Hao Hunan Electric Power    2024, 44 (3): 25-33.   DOI: 10.3969/j.issn.1008-0198.2024.03.004 Abstract （467）      PDF（pc） （6708KB）（606）       Knowledge map    Save :Aiming at the thermal runaway of lithium ion battery and fire fighting technology, the existing types of fire extinguishing agents are introduced, their fire extinguishing mechanism and advantages and disadvantages are analyzed, the mechanism and evolution process of thermal runaway of lithium ion battery are studied, and the future of lithium ion battery fire extinguishing agents is prospected.The research results show that these fire extinguishing agents meet the basic characteristics of extinguishing open fire when dealing with lithium-ion battery fires, but there are still different degrees of reignition risk, fire extinguishing time and flame retardant effect are not the same,in addition some fire extinguishing agents will have a negative impact on the environment and equipment after use. Therefore, the development of new fire extinguishing agents with high efficiency,environmental protection and anti-reignition characteristics is an inevitable trend of future research. Reference | Related Articles | Metrics

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Research on Short-Term Wind Power Prediction Method of Bidirectional Long Short-Term Memory Based on Variational Mode Decomposition and Sparrow Search Algorithm HAO Luxi, LIU Lin, LIU Baiyang, SUN Jieyi, WANG Huijuan Hunan Electric Power    2024, 44 (3): 89-95.   DOI: 10.3969/j.issn.1008-0198.2024.03.013 Abstract （220）      PDF（pc） （4521KB）（246）       Knowledge map    Save :In order to solve the problem of inaccurate short-term power prediction of wind power caused by stochastic and fluctuating wind power, a short-term wind power prediction method based on bi-directional long short-term memory of variational mode decomposition and sparrow search algorithm is proposed.Firstly, the wind power in the historical data is decomposed into several sub-sequences by using variational mode decomposition, and each element in the sub-sequence corresponds to a historical meteorological data vector at a certain moment, which forms the original data matrixs.Then, the bidirectional long short-term memory of sparrow search algorithm power prediction method is used to model several original data matrices respectively, and the optimal parameters of bidirectional long short-term memory (BiLSTM) are automatically found by using sparrow search algorithm, and finally the prediction results are superimposed to form the final prediction results. Based on the actual operation data of a wind farm in Hunan province, the simulation results show that the root mean square error, mean absolute error, and mean absolute percentage error of the proposed model in this article are reduced by 77.29%, 75.52% and 75.04% respectively compared with the BiLSTM model, which can effectively improve the short-term power prediction accuracy of the wind farm. Reference | Related Articles | Metrics

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Insulator Corona Analysis Method Based on UAV-Borne UV Image Data WANG Shenli, WU Jun, LI Xiaolai, WANG Weidong Hunan Electric Power    2024, 44 (3): 70-74.   DOI: 10.3969/j.issn.1008-0198.2024.03.010 Abstract （224）      PDF（pc） （3498KB）（201）       Knowledge map    Save :The use of UAV-borne UV imaging equipment to obtain the operating status of insulators has become an important means for line operation and maintenance personnel. Based on the UV image data of UAV, this paper adopts video analysis and digital image processing algorithm to extract the image parameters to obtain UV image information and analyzes the situation of insulator corona. The results show that this method can meet the needs of field detection and achieve the best detection effect when the observation distance is 4m and the gain is 60%.,and it helps to establish a more accurate corona analysis method and improve the application range of UV-borne UV sensing. Reference | Related Articles | Metrics

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Research on Transformer Oil-Paper Insulation State Assessment by Integrating Intelligent Algorithm and Frequency Domain Dielectric Spectroscopy ZHOU Yujian, DING Zheshi Hunan Electric Power    2024, 44 (3): 15-24.   DOI: 10.3969/j.issn.1008-0198.2024.03.003 Abstract （195）      PDF（pc） （4830KB）（195）       Knowledge map    Save :This paper proposes a novel approach for assessing the insulation condition of transformers by combining the non-dominated sorting genetic algorithm Ⅱ (NSGA-Ⅱ) with an extended Cole-Cole model. The method is applied to extract feature parameters for the evaluation of insulation states in laboratory samples and transformers. Initially, frequency domain spectroscopy messages are collected from insulation samples in different states. Subsequently,uncoupling analysis is performed on the extended Cole-Cole model to distinguish various dielectric response behaviors. The NSGA-Ⅱ algorithm is then utilized to solve the extended Cole-Cole model and separate the feature parameters, which are further refined using the Pearson correlation coefficient method. Finally, based on the obtained feature parameters, insulation state assessments are conducted on laboratory samples and on-site transformers using neural network tools. The results demonstrate that this intelligent algorithm-based approach, coupled with frequency domain spectroscopy, has high accuracy and applicability in evaluating the insulation condition of transformer oil-paper insulation. Reference | Related Articles | Metrics

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Seismic Performance Simulation Analysis and Optimization Design of Tank Circuit Breaker CHEN Yu, GAO Yang, SHEN Fenghui, XU Meng, LIU Yuntong Hunan Electric Power    2024, 44 (3): 120-125.   DOI: 10.3969/j.issn.1008-0198.2024.03.017 Abstract （287）      PDF（pc） （5088KB）（190）       Knowledge map    Save :Taking a 363 kV tank circuit breaker as the research object, the three-dimensional solid model is built according to the design drawings, and the seismic response spectrum with the seismic level of AG5 is applied to the model by using Ansys Workbench software for finite element analysis, and the simulation results under the combined condition of seismic loads are obtained. The structure is optimized and the seismic performance before and after optimization is compared and analyzed. The results show that the optimized tank circuit breaker can meet the seismic performance requirements of AG5 level, strengthening the support is beneficial to increase the natural frequency of the tank circuit breaker structure. After structural optimization, the stress level of the main components is reduced, and the maximum displacement response of the top of the bushing decreases from 90.072mm to 66.342 mm, which is more favorable to long-term safe and stable operation of tank circuit breaker equipment. Reference | Related Articles | Metrics

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Research on Thermal Runaway Behavior of Blade Energy Storage Lithium Batteries Based on Acoustic Detection Technology XU Song, WAN Tao, LI Xin, WU Junjie, ZHA Fanglin, WEI Jiaqiang, CAI Yufeng, LIU Yiyi Hunan Electric Power    2024, 44 (5): 17-23.   DOI: 10.3969/j.issn.1008-0198.2024.05.003 Abstract （539）      PDF（pc） （11069KB）（189）       Knowledge map    Save With the large-scale application of electrochemical energy storage, thermal runaway detection and timely warning research of lithium battery is of great significance for ensuring the safe operation of energy storage power station. In this paper, a test platform for the thermal runaway performance of lithium battery is set up. The sound signal of blade energy storage lithium battery under thermal runaway condition is tested. The acoustic characteristics and change rules of different development stages of thermal runaway such as battery bulging, pressure relief valve opening, venting, explosion and fire are analyzed. It shows the effectiveness of sound feature for thermal runaway detection. Aiming at the problem that the sound characteristics of thermal runaway are easily disturbed by the noise of other equipment such as ventilation fans and PCS in the energy storage battery compartment, an anti-interference analysis method of thermal runaway sound signal based on wavelet packet decomposition and spectral subtraction speech enhancement is proposed. The analysis result shows that the proposed method can effectively eliminate the wind noise interference from the thermal runaway sound signal, and can accurately restore the battery thermal runaway sound characteristics. After denoising, the correlation coefficient between the original and the denoised sound signals reaches 0.96. The results can provide as technical reference for thermal runaway detection and early warning of the energy storage lithium battery. Reference | Related Articles | Metrics

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Simulation Analysis on Enclosure Vibration Characteristic Under Poor Busbar Contact Failure in Switchgear Cabinets SHI Zhiwei, SHEN Zhong, QIU Yu, LI Peng, WU Tian Hunan Electric Power    2024, 44 (3): 3-8.   DOI: 10.3969/j.issn.1008-0198.2024.03.001 Abstract （234）      PDF（pc） （4195KB）（186）       Knowledge map    Save :In order to detect the bad contact fault of the busbar inside the switch cabinet, a simplified calculation model is established, and the transient magnetic field-structure field coupling simulation is carried out by using the finite element method to obtain the current density distribution of the busbar at the bonding position under normal conditions and different degrees of poor contact fault conditions, and the change law of the total electromagnetic force of the busbar is analyzed. The vibration acceleration of the monitoring points on the surface of the housing under normal and faulty conditions is studied, and the characteristic frequency response of the fault with poor contact is obtained. The results show that when the contact fault occurs, the electromagnetic force of the busbar is greatly reduced, resulting in the vibration signal of the housing is weakened, the amplitude of the fundamental frequency component of the vibration acceleration of 100 Hz is reduced by up to 25%, and the harmonic component of 200 Hz is generated. Reference | Related Articles | Metrics

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Light Weight Visual Recognition Method of Small Target Hardware for Transmission Lines Based on Improved YOLO Algorithm ZOU Dehua, ZHANG Hongwei, JIANG Wei, GONG Chuang Hunan Electric Power    2025, 45 (1): 136-143.   DOI: 10.3969/j.issn.1008-0198.2025.01.020 Abstract （155）      PDF（pc） （7320KB）（173）       Knowledge map    Save Aiming at the problem that deep learning-based transmission line hardware detection methods can not ensure the lightweight model while improving the detection accuracy of small targets, a lightweight detection method for small target hardware on transmission lines is proposed. Based on YOLOv4, the method firstly combines density-based spatial clustering of applications with noise and the anchor frame optimization strategy with multiple K-means to optimize the preset frame selection according to the characteristics of the small target data, speed up the network convergence and improve the detection accuracy. Secondly, GhostnetV2 is used to achieve model light weighting. Then the network of small object enhanced multi-scale detection network, is designed to enhance the feature extraction ability, strengthen the fusion of shallow and deep features, and solve the problem of feature loss caused by down sampling cross-step convolution. Finally, focal loss function is used to optimize sample allocation and depth-wise separable convolution is used to reduce model complexity. The mean average precision(mAP) of this algorithm on the self-constructed small hardwaredataset reaches 64.73%, and the model computation and parameter counts are reduced by 78% and 71% compared to the pre-improvement period, while there is almost no loss of detection accuracy. The mAP reaches 38.43% on the public dataset VisDrone2019, which gives the algorithm a superiorsmall target detection performance compared to other algorithms. Reference | Related Articles | Metrics

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Mechanical Failure Diagnosis Method for High-Voltage Circuit Breakers Based on Vibration Signal Analysis MA Zhaoxing, LIU Jinxin, LI Ji, WANG Jing, CHEN Hao, JI Haomin, WANG Ruihua Hunan Electric Power    2024, 44 (5): 124-130.   DOI: 10.3969/j.issn.1008-0198.2024.05.019 Abstract （306）      PDF（pc） （6524KB）（171）       Knowledge map    Save By analyzing the vibration signals of high voltage circuit breakers（HVCB）, fault types can be identified based on their different vibration characteristics. Using an improved wavelet threshold denoising method for data preprocessing of circuit breaker vibration signals, and extracting the energy proportion of each frequency band through wavelet packet transform, HVCB fault diagnosis is achieved based on the analysis of energy distribution characteristics. Engineering examples show that the method proposed in this paper can effectively achieve mechanical fault diagnosis of HVCB, providing a new technological means for intelligent operation and inspection of high-voltage circuit breakers. Reference | Related Articles | Metrics

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Review of Reactive Voltage Optimal Control Research in Power Grid With High Proportion Access of New Energy ZHANG Ruiqi, FU Letian, LI Mengjiao, CHU Xu, YU Shaoshuai Hunan Electric Power    2024, 44 (2): 19-28.   DOI: 10.3969/j.issn.1008-0198.2024.02.003 Abstract （393）      PDF（pc） （8520KB）（164）       Knowledge map    Save For the application of reactive voltage optimization and control techniques,the reactive voltage optimization modeling methods of power grid in the environment of high proportion of new energy access are summarized,which are mainly divided into multi-time scale reactive voltage optimization,hierarchical and partition voltage optimization,active and reactive voltage coordination optimization,and reactive voltage optimization based on model predictive control.The mathematical methods of reactive voltage optimization are briefly analyzed,which are mainly divided into random variable processing method and reactive voltage optimization model solving method.Combined with the structural changes of“source-grid-load-storage”,the development trend of energy internet and the current situation of power market reform,the future research is prospected from the perspective of multi-dimensional“source-grid-load-storage”coordinated voltage control,multi-heterogeneous energy collaborative optimization control,and“source-grid-load-storage”collaborative optimization under the market environment. Reference | Related Articles | Metrics

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Research on Electricity Prediction Model of Power Purchasing Agent Based on K-means Clustering Algorithm and BP Neural Network YU Zhicheng, MU Shicai, LIANG Ye, LI Jiachen, LIN Hua, CHEN Jichen, JIN Xin Hunan Electric Power    2025, 45 (1): 68-72.   DOI: 10.3969/j.issn.1008-0198.2025.01.010 Abstract （180）      PDF（pc） （4161KB）（163）       Knowledge map    Save Through the in-depth portrait analysis of power purchasing agents in a certain region, the influence of different factors on the power consumption of power purchasing agents is studied, and the classification of user groups is realized through the clustering algorithm. Through the neural network algorithm, the longitudinal time series electricity and horizontal influencing factors are incorporated into the prediction formula, and the prediction models conforming to the characteristics of different clusters are constructed. Finally, the models are integrated to achieve high accuracy prediction of the overall electricity. Reference | Related Articles | Metrics

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Characterization Method of Paper Insulation Aging State at Transformer Hot Spots Based on Genetic Algorithm and Finite Element Simulation LU Bingrong, WANG Qingyin Hunan Electric Power    2024, 44 (3): 40-47.   DOI: 10.3969/j.issn.1008-0198.2024.03.006 Abstract （186）      PDF（pc） （4192KB）（152）       Knowledge map    Save :Current assessment method based on frequency domain dielectric spectrum(FDS)cannot reflect the aging state of the insulation at the hot spots. Therefore,an“inverse model”is proposed by combining multi-objective genetic algorithm and finite element simulation method to obtain the aging information of paper insulation in high-temperature areas of transformers.A finite element model of oil-paper insulation under non-uniform aging is constructed,which can establish the mapping relationship between the aging state of oil-paper insulation and FDS data in different aging regions. Based on the measured FDS data of the oil-paper insulation system,a multi-objective genetic algorithm is designed to solve the parameter distribution in the finite element model.The validation experiment results show that the extracted parameters of the FEM simulation model can well characterize the aging state of the paper insulation in the hot spot area and the relative error of the model is less than 7% under laboratory conditions. Reference | Related Articles | Metrics

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Configuration Optimization and Performance Analysis of Supercritical Carbon Dioxide Power Generation and Energy Storage Integrated System ZHU Guangming, CHEN Xun, HE Honghao, SUN Ruiqiang, XIE Guohong, YANG Yi, WANG Yangguang Hunan Electric Power    2024, 44 (4): 1-10.   DOI: 10.3969/j.issn.1008-0198.2024.04.001 Abstract （1068）      PDF（pc） （14511KB）（150）       Knowledge map    Save To synergistically enhance the efficiency and flexibility of coal-fired power system, and promote the transformation of thermal power units, a scheme of using supercritical carbon dioxide (S-CO2) working fluid to construct a coupling system of coal-fired power generation and pumped thermal electricity storage (“source-storage-integrated” system) is proposed. Based on the first and second laws of thermodynamics, the design and off-design calculation models of the integrated system are developed, and the potential of the flexibility improvement and the energy efficiency of the heat storage-release process are analyzed. The results show that by integrating pumped thermal electricity storage technology on the basis of S-CO2 coal-fired power system, the minimum output power of the unit can be reduced from the original 30% rated load to zero, which greatly improves the peak regulation depth and operation flexibility. When 75% rated load is selected as the heat release condition, the output power can be increased by 23.59% of the rated load. In addition, the equivalent round-trip efficiency of the heat storage-release process of the integrated system is 78.64%. The sensitivity analysis of heat storage parameters shows that the optimal value range for the molten salt cold tank temperature is 405~420 ℃, and the value range for the atmospheric pressure water hot tank temperature is 70~75 ℃. Reference | Related Articles | Metrics

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Transmission Channel Hill Fire Identification Method Based on Multi-Feature Fusion YE Jun, QIU Zhibin, YANG Zeding, LAI Dongyang Hunan Electric Power    2024, 44 (3): 9-14.   DOI: 10.3969/j.issn.1008-0198.2024.03.002 Abstract （216）      PDF（pc） （4582KB）（140）       Knowledge map    Save :According to the daily inspection requirements of power grid, a method of transmission channel fire identification based on multi-feature fusion is proposed to solve the problem of frequent transmission channel fire trip.The images of transmission line wildfires are enhanced by gamma transform and Sobel operator, and multistage segmentation algorithm consisting of superpixel segmentation, region growth method and morphological processing are used to obtain the images of flame regions. The color and texture features are extracted from segmented flame images and fused using a serial feature fusion approach and a BP neural network classifier is trained to achieve recognition of transmission channel wildfires. Experimental results demonstrate an overall accuracy rate of 92.7% for the proposed method, providing valuable guidance for power operation and maintenance personnel in monitoring fire incidents within transmission channels. Reference | Related Articles | Metrics

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Analysis of Voltage Stability Capability of Dynamic Reactive Power Compensation Devices Supporting High Proportional New Energy Systems ZHANG Ruiqi, LI Mengjiao, YANG Hongming, ZHAO Jian, XU Qiufei, ZHANG Shijie Hunan Electric Power    2024, 44 (4): 27-33.   DOI: 10.3969/j.issn.1008-0198.2024.04.004 Abstract （649）      PDF（pc） （9695KB）（139）       Knowledge map    Save In response to the voltage stability issue in high proportion new energy access areas, the characteristics of new energy output gap and weak transient reactive voltage regulation ability of new energy units are first considered. Starting from the penetration rate of new energy and the power grid strength of new energy access points, and the mechanism of voltage instability in high proportion new energy access areas is revealed. Then, the dynamic reactive power output characteristics of SVC, SVG, phase-shifting camera, and distributed phase-shifting camera are elaborated, and the support capabilities of four types of reactive power compensation devices in high proportion new energy scenarios are compared and analyzed. Distributed phase-shifting cameras have more advantages in supporting reactive voltage and suppressing overvoltage/undervoltage in new energy stations. Finally, taking the Xiangnan new energy access area as the research scenario, the support effect of reactive power compensation equipment under fault conditions with the same new energy penetration rate and different new energy penetration rates is analyzed to verify the correctness of the proposed viewpoint. Reference | Related Articles | Metrics

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Business Expansion Decision Based on Accurate Calculation of Available Capacity for Distribution Station Area LIAO He Hunan Electric Power    2024, 44 (3): 145-150.   DOI: 10.3969/j.issn.1008-0198.2024.03.020 Abstract （222）      PDF（pc） （4262KB）（135）       Knowledge map    Save :To solve the problem of inaccurate calculation of available capacity in the expansion and installation business of the power marketing industry, resulting in insufficient utilization of equipment resources and low operational efficiency in distribution station area, a method based on load feature clustering for calculating available capacity in distribution station area and decision-making for expansion and installation is proposed. Based on the gateway data of the power system distribution station area and the load data of electricity customers, the paper analyzes the electrical timing and construct a typical industry feature library, accurately calculates the available capacity of the distribution station area, provides the optimal access decision for new users in the distribution station area, and provides guidance for the business expansion work of power companies. Case study results show that this method can be used to make the optimal access load decision in the industry expansion application, and the access load can be operated stably without immediate modification, which can effectively prolong the service life of distribution transformers and improve economic benefits. Reference | Related Articles | Metrics

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Study on Surface Discharge Characteristics of Cleaning Agent Wetting Layer for Composite Insulator WU Tian, LIU Xinyuan Hunan Electric Power    2024, 44 (3): 75-82.   DOI: 10.3969/j.issn.1008-0198.2024.03.011 Abstract （172）      PDF（pc） （5635KB）（130）       Knowledge map    Save :In order to study the surface discharge characteristics under the condition of insulation cleaning agent, three kinds of silicone rubber samples are completely soaked with water and cleaning agent, respectively, and the flashover voltage and leakage current of the samples are measured. Then, scanning electron microscopes and energy dispersive spectrometers are used to analyze the changes of structural components on the surface of the pollution layer. Finally, the arc emission spectrum of surface discharge is collected, and the effect of insulation cleaning agent on surface arc channel is analyzed by arc image extraction algorithm. The test results show that with the increase of pollution grade, the effect of insulation cleaning agent on surface discharge of wet pollution layer is more obvious. For the surface of the wet dirty layer, the insulating cleaning agent spreads and covers itself to form a dense protective film, and penetrates into it, preventing the soluble salt from dissolving, ionizing and exciting in the water, and volatilizing absorbs the heat of the surface dirty layer and prevents the electronic transition inside the dirty layer. For the arc channel, the insulation cleaning agent will further aggravate the distortion degree with the increase of pollution level, accelerate the energy dissipation of the arc channel, and strengthen the inhibition effect. Reference | Related Articles | Metrics

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Overview of Control Technologies for Grid-Forming Wind Turbines WANG Yuwei, WEI Juan, HUANG Sheng, CHEN Daojun, QIU Fengliang Hunan Electric Power    2025, 45 (2): 3-12.   DOI: 10.3969/j.issn.1008-0198.2025.02.001 Abstract （929）      PDF（pc） （9458KB）（128）       Knowledge map    Save When traditional grid-following turbines are connected to the power grid on a large scale, issues such as a decline in the short-circuit ratio of the grid, weakened synchronization support capability, and reduced system inertia may arise. Grid-forming wind power generation technologies can mitigate fluctuations in system voltage and frequency, thereby improving the overall safety and stability of power system operation. Firstly, the grid-forming control system frameworks of two typical wind turbines are analyzed: the doubly-fed induction generator (DFIG) and the permanent magnet synchronous generator (PMSG). Based on the most common control strategies, including droop control, virtual synchronous control, and model predictive control, the advantages and disadvantages of these two frameworks are discussed in terms of inertia support capability, overload capacity, and stability. Subsequently, from the perspective of performance improvement, the frequency regulation, voltage control, and robustness of the two models are compared and analyzed. Furthermore, the research progress in control performance enhancement technologies for grid-forming wind turbines are summarized and the future research directions and the key technical challenges that need to be addressed are explored, aiming to provide insights and references for the advancement of grid-forming technologies. Reference | Related Articles | Metrics

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Construction and Optimization of Distributed Photovoltaic Out‍put Forecast Model Considering Multiple Real-Time Mete‍oro‍logical Factors LU Xinxing, QU Zhenyu, HUANG Jiyuan, ZHAO Zijun, LI Yuliang, WU Donglin Hunan Electric Power    2024, 44 (6): 128-133.   DOI: 10.3969/j.issn.1008-0198.2024.06.018 Abstract （1058）      PDF（pc） （4297KB）（125）       Knowledge map    Save Aiming at the problem that the output power of photovoltaic（PV） power is affected by a variety of factors, showing randomness and intermittency, which leads to the difficulty of accurately predicting PV output. A method of distributed PV output forecastmodel construction and optimization considering multiple real-time meteorological factors is proposed. Firstly, according to solar irradiance, temperature, wind speed, daily irradiation duration and relative humidity,the abnormal PV data return to by Newton interpolation, and the missing data are filled in to complete the preprocessing of PV data. On this basis,the characteristics of numerical weather prediction under uncertainties are quantitatively selected and the PV predictors are extracted based on fuzzy weighted convolutional neural network. Finally, a PV power output forecastmodel is constructed based on least square support vector regression, and the model is solved. The experimental results show that the research method has a very high precision for the prediction of distributed PV output. Reference | Related Articles | Metrics

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Comparative Analysis of Aggregation Boosting Methods for Offshore Wind Power HVDC Power Transmission GAO Yue, CHEN Heng, WANG Zhengwei, LEI Jing Hunan Electric Power    2025, 45 (1): 54-60.   DOI: 10.3969/j.issn.1008-0198.2025.01.008 Abstract （143）      PDF（pc） （6483KB）（121）       Knowledge map    Save With the gradual development of offshore wind farms to the deep and distant ocean and the increasing single machine capacity of wind turbine generator in offshore wind farms, problems such as changeable operating environment and increasing construction difficulty of offshore wind farms also arise.Aiming at these problems, a variety of aggregation boost methods of offshore wind power under the condition of HVDC transmission are theoretically analyzed. From the perspective of the economy and energy loss, the construction cost of each program and energy loss in the process are calculated respectively by applying several aggregation boost methods to practical concrete engineering cases. The calculation results are summarized, and the influence of different voltage levels and power types on the offshore wind power collection system is compared and analyzed, and the advantages of DC aggregation boost system in the future development of offshore wind power are proved. Reference | Related Articles | Metrics

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Coordinated Control Strategy of Reactive Power of Grid-Forming Inverter and SVG Parallel System CHEN Yandong, PEI Xinxin, FU Youze, LI Xuyang, ZHANG Mingyu, ZHOU Kehui, TANG Haiguo Hunan Electric Power    2024, 44 (2): 112-121.   DOI: 10.3969/j.issn.1008-0198.2024.02.015 Abstract （989）      PDF（pc） （9970KB）（119）       Knowledge map    Save Taking the static var generator (SVG) as an example,this paper proposes a coordinated reactive power control strategy for grid-forming inverter and SVG parallel systems to address the voltage stability issue. Summarize the operation status of the parallel system into four working conditions,and coordinate the reactive power of the grid-forming inverter and SVG injection common coupling point under different working conditions through working condition identification, reactive power compensation calculation,reactive power allocation strategy,and working condition switching,so that the parallel system can work stably and reliably in all situations.A model is built in MATLAB and simulation is conducted.The results show that the proposed control strategy can achieve fast identification and switching of operating conditions,calculation of reactive power compensation,allocation of reactive power,and fast support for common coupling point voltage. Reference | Related Articles | Metrics

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Optimization Strategy of Low Harmonic Content Trapezoidal Modulation for Quasi-Z-Source Inverter YI Wenjing, ZHANG Yang, YANG Yuxin, LUO Zhaoxu, CHENG Zhun Hunan Electric Power    2024, 44 (3): 96-104.   DOI: 10.3969/j.issn.1008-0198.2024.03.014 Abstract （209）      PDF（pc） （5807KB）（116）       Knowledge map    Save :A trapezoidal waveform-based optimization strategy is proposed in this paper to address the problems of harmonic pollution and high voltage stress on power devices in quasi-Z-source inverter. The modulation strategy improves the electrical energy quality by selecting the appropriate ladder shaping rate while ensuring the voltage utilization of the DC-link voltage and significantly reducing the total harmonic wave deformation of the quasi-Z-source inverter output current. In addition, the selection of a trapezoidal waveform as the modulating waveform can effectively reduce the voltage stress on the capacitors and power devices in the quasi-Z-source network. The proposed modulation strategy is simulated and analyzed using MATLAB/Simulink software to ensure its correctness and effectiveness. Finally, the trapezoidal waveform-based modulation strategy is further validated by the RT-LAB experimental platform. Reference | Related Articles | Metrics

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Research Progress of Process Simulation of Solid Oxide Cells Based on Aspen Software WANG Jing, WANG Yao, HU Xuelei, XU Song, LIU Tong Hunan Electric Power    2024, 44 (2): 9-18.   DOI: 10.3969/j.issn.1008-0198.2024.02.002 Abstract （397）      PDF（pc） （10850KB）（112）       Knowledge map    Save The paper summarizes the method of process simulation of solid oxide cells through the existing modules and functions in Aspen software,introduces the subsequent optimization of solid oxide cell simulation,the improvement from steady state model to dynamic model and the application of the cell model in a variety of occasions, simulates the process of combining the solid oxide cell model with the gas turbine,plasma gasification, the cooling,heating and power triple-heat system and the cogeneration system.Finally the paper looks forward to the future research on the process simulation of solid oxide cells based on the Aspen software. Reference | Related Articles | Metrics

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Oscillation Suppression of Grid-Forming VSC-HVDC System Based on Fixed-Time Sliding Mode Control ZHU Sirui, WANG Canlin, ZHANG De, LI Yong, ZHOU Yang, WEN Ting Hunan Electric Power    2024, 44 (4): 84-92.   DOI: 10.3969/j.issn.1008-0198.2024.04.012 Abstract （381）      PDF（pc） （10487KB）（110）       Knowledge map    Save The grid-forming voltage source converter based high voltage direct current(VSC-HVDC)system is connected to the grid, which supports the voltage and frequency of the grid. This paper focuses on the oscillation problem caused by the receiving end grid of grid-forming VSC-HVDC system and proposes a fixed-time sliding mode control method to damp the oscillation. First, a mathematical model of the grid-forming VSC-HVDC system is established based on virtual synchronous generator control. Then, a nonlinear fixed time sliding mode control method is proposed for oscillation suppression control according to the sliding mode control and fixed time stability theory. Furthermore, Lyapunov theory proves that the proposed nonlinear fixed time sliding mode control can realize the restoration of stability of the grid-forming VSC-HVDC system within the fixed time. Finally, a simulation model of the grid-forming VSC-HVDC system is constituted on MATLAB/Simulink and the simulation results verify the validity and superiority of the proposed method in oscillation suppression. Reference | Related Articles | Metrics

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Assessment Method of Health Status for Photovoltaic Power Station Sensor Based on Information Fusion and One-Dimensional Convolutional Neural Network YANG Fangliao, HUANG Xin, TAN Hongzhi, MIN Qi, ZHU Shi, YAN Lei Hunan Electric Power    2024, 44 (3): 105-113.   DOI: 10.3969/j.issn.1008-0198.2024.03.015 Abstract （206）      PDF（pc） （4430KB）（107）       Knowledge map    Save :This paper addresses challenge issues of current sensor fault diagnosis methods, including dependence on expert knowledge, ignorance of spatiotemporal correlations with bypass terminals and redundant feature impacts. An approach for sensor health assessment is consequently proposed, utilizing information fusion and one-dimensional convolutional neural networks. Firstly four types of sensor characteristics are selected according to the strong correlation with photovoltaic power prediction,which are statistical features of sensor data streams, temporal characteristics of sensor data streams, data characteristics of bypass terminal, and weather forecast data. Subsequently, a random forest algorithm is employed to select the core features of the sensors. Finally, health status assessment models are separately trained for the two types of sensors. Experimental results demonstrates that the proposed method has achieved accuracy of 99.29% and 99.07% respectively in the health status assessment of temperature and light intensity sensor. Reference | Related Articles | Metrics

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Research on Power Distribution Strategy of Multi-Energy Storage Converters Based on Consensus Algorithm WANG Can, DENG Wenhua, XIA Xiangyang, ZHANG Kan, CHEN Gang, HU Zhiran Hunan Electric Power    2024, 44 (3): 114-119.   DOI: 10.3969/j.issn.1008-0198.2024.03.016 Abstract （173）      PDF（pc） （2929KB）（107）       Knowledge map    Save :In order to solve the problem that the centralized controller cannot quickly and flexibly allocate power to power conversion system(PCS) due to the increasing number of PCS in battery energy storage system, a distributed power allocation strategy based on consistency algorithm is proposed in this paper. The strategy takes into account the state of charge balance and operation efficiency of each battery unit, iteratively calculates the power instruction value of each battery unit according to the consistency algorithm, and takes the absolute error of the power instruction in the iteration of adjacent units as the convergence criterion to determine the end of the iteration, so as to realize the power allocation of each PCS to meet the specific requirements in different scenarios. Finally, the cycle life loss, capacity reserve and energy loss of the proposed strategy are compared with the existing power allocation strategies, and the effectiveness of the proposed strategy in the peak load balancing scenario is verified by simulation. Reference | Related Articles | Metrics

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Analysis and Research of GIS Transportation Vibration and Shock CHEN Yu, XU Meng, GAO Yang, SHEN Fenghui, LIU Yuntong, LIU Dongyang Hunan Electric Power    2024, 44 (4): 126-131.   DOI: 10.3969/j.issn.1008-0198.2024.04.018 Abstract （227）      PDF（pc） （7286KB）（106）       Knowledge map    Save Taking a certain type of 126 kV GIS as the research object, the transportation vibration and shock characteristics are analyzed and studied. The three-dimensional solid structure model of GIS transportation unit is established, and the modal analysis and random vibration analysis with prestress under vibration conditions are carried out by using ANSYS Workbench software to obtain its natural frequency and mechanical strength of each component. The analysis results show that the maximum equivalent stress of the base is 153.5 MPa and the minimum safety factor is 1.53. The experimental research on the GIS transportation unit under abnormal shock conditions shows that the GIS equipment can still ensure good performance when the instantaneous shock acceleration reaches 6.7g, and the shock resistance is higher than the acceleration value required by the product is less than 3g standard. Through the analysis and research of GIS under vibration and shock conditions, the transportation performance of GIS is evaluated comprehensively, which has very important practical significance to ensure the transportation safety of GIS. Reference | Related Articles | Metrics

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Intelligent Assessment Methods of Regional Transmission Networks Pollution State Based on LSTM and ArcGIS WEN Silun, ZHANG Chuyan, DIAO Mingguang, ZHOU Zhen'an, XU Huiyong, LIU Huifang Hunan Electric Power    2024, 44 (3): 55-63.   DOI: 10.3969/j.issn.1008-0198.2024.03.008 Abstract （317）      PDF（pc） （2808KB）（101）       Knowledge map    Save :In order to improve the pollution flashover prevention level of power system, this paper takes the assessment method of pollution state on insulator surface of overhead transmission lines in Beijing as the research object, and proposes a dynamic intelligent assessment method of regional pollution degree based on meteorological conditions and salt density data distribution. First, this paper analyzes the main external factors affecting insulator surface pollution, and uses grey correlation analysis to select six factors with the highest correlation degree. Secondly, a prediction model of insulator pollution degree based on long short-term memory neural network is established in this paper. The prediction results of this model are in good agreement with the measured data, which can well reflect the pollution state of insulators in power grid. Finally, by combining meteorological conditions with geographic information, this paper draws the forecast map of pollution area distribution in Beijing with ArcGIS, and realizes the dynamic expression of pollution degree evaluation. Moreover, a miniature natural fouling platform is built on campus to verify the proposed method. The results show that the research work in this paper can realize the periodic dynamic change monitoring of pollution degree data of regional transmission grid, predict the occurrence location of heavy pollution areas in advance, and help to improve the predictability, accuracy and intelligence level of anti-pollution flasticity work of power grid. Reference | Related Articles | Metrics

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Experimental Study on Energy-Absorbing Anti-Icing Coating for Wind Turbine Blades PAN Bichen, CHEN Baohui, TANG Zhuang Hunan Electric Power    2024, 44 (2): 129-133.   DOI: 10.3969/j.issn.1008-0198.2024.02.017 Abstract （227）      PDF（pc） （5536KB）（101）       Knowledge map    Save Aiming at the problem that wind turbine blade are prone to icing in winter,a new kind of wind turbine blade anti-icing coating with energy absorption function is developed.The coating of blade anti-icing can absorb a certain wavelength of light and turn it into heat to raise the temperature of the paint surface,which melts the interface between the paint and the ice and let the ice fall off the wind turbine blade.The energy-absorbing pigment is prepared by chemical reaction,and mixed with film forming matrix,wear-resistant filler and other materials to produce energy-absorbing coating.By comparing the icing condition of the anti-icing blade with the ordinary blade,it is found that the coating could reduce the icing rate of the blade by 12.8% and shorten the icing time by 50%.In addition,the wear resistance test shows that the wear resistance of the coating is 2.81 L/μm,which is better than that of the original coating on the blade (1.95 L/μm).The above results show that the coating could reduce the ice coating rate and shorten the ice coating time of the blade,and had better wear resistance and longer service life. Reference | Related Articles | Metrics

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Simulation Analysis of Contamination Accumulation Characteristics of XP-70 Porcelain Insulator DENG Yongqing, HUANG Daochun, RUAN Jiangjun, KUANG Yanjun Hunan Electric Power    2024, 44 (3): 34-39.   DOI: 10.3969/j.issn.1008-0198.2024.03.005 Abstract （185）      PDF（pc） （5862KB）（100）       Knowledge map    Save :Three pieces of XP-70 porcelain insulator string are taken as research objects, a numerical wind tunnel simulation model is established. Based on the Euler gas-solid two-phase flow analysis model, the pollution volume fraction is used to evaluate the pollution degree of the insulators, and the pollution characteristics of XP-70 insulators are analyzed by numerical simulation.The results show that the static pressure on the windward side of the insulator is the largest, and it collides with the pollution particles fiercely. At the same time, when the air fluid passes through the insulator, it is easy to form backflow on the leeward side and bottom of the insulator under the effect of turbulence. With the increase of pollution concentration, the pollution degree of the pollution monitoring points on the surface of insulator increases. The amount of pollution on the wind-ward side, leeward side and bottom area of the insulator increases with the increase of the wind speed and particle size, while the pollution amount of the pollution monitoring points on the cross wind area of the insulator decreases with the increase of the wind speed and particle size. Reference | Related Articles | Metrics

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Risk Assessment Model for Load Redistribution Attacks Based on Game Theory YU Mengxi, YAN Yu, ZHOU Zhanfan, DU Min, WANG Lianhong Hunan Electric Power    2024, 44 (2): 1-8.   DOI: 10.3969/j.issn.1008-0198.2024.02.001 Abstract （307）      PDF（pc） （6884KB）（99）       Knowledge map    Save To assess the risk of cyber-attack,this paper constructs a bilayer assessment model of load redistribution attack risk based on game theory,introduces false data attacks and load redistribution attacks,and constructs a two-layer optimisation model for the risk of load redistribution attacks based on a game-theoretic approach.In addition,this paper uses the KKT condition to transform the bilayer model into a single-level mixed-integer linear programming model,and carries out and analyzes simulation experiments on the IEEE 14-bus system and the IEEE 30-bus system,to assess the risk of load redistribution attacks on the security and economic operation of the power system. In addition,this paper provides suggestion on how to prevent and defend against load redistribution attacks. Reference | Related Articles | Metrics

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Optimized Allocation of Source-Load-Storage-Integrated Park Resource and Its Offer Strategy of Participation in Spot Trading ZHOU Yu, WU Haiyan, QI Junli, CHEN Xiyu, XIANG Sheng, LIU Yuqing Hunan Electric Power    2024, 44 (3): 126-135.   DOI: 10.3969/j.issn.1008-0198.2024.03.018 Abstract （309）      PDF（pc） （6415KB）（97）       Knowledge map    Save :At present,the resource allocation of the source-load-storage integration park has a single consideration, and the market trading strategy is not flexible enough, which makes it difficult to meet the needs of the new power system construction. For this reason, this paper studies the optimal allocation of resources in a source-load-storage integrated park and its participation in spot trading offer strategy.Firstly,the flexible adjustment characteristics of the park are analyzed, and a framework for the park's participation in spot market transactions is proposed. Second,a two-layer configuration model of the park under the spot market is constructed by comprehensively considering the economic performance and green and low-carbon indicators. The upper-layer model optimizes the allocation of wind and energy storage capacity of the park to minimize the construction cost of the park. The lower-layer model optimizes the power purchase and sale strategy, energy storage, and flexible load operation strategy of the park to minimize the power purchase cost of the park. Finally, a typical scenario is set up for optimization calculation, and the simulation results show that, the park participating in the spotmarket compared with the park not participating in the spot market, the resource allocation and resource regulation strategy of the park is more flexible, the annual total construction cost of the park is reduced by 2.86%, and the daily total cost of power purchase and sale is reduced by 17.34%. Reference | Related Articles | Metrics

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Day-Head Scheduling Optimal Operation Strategy for Wind-Solar-Hydrogen-Heat Cogeneration Virtual Power Plants Considering Hydrogen Load Requirements CUI Xianyi, ZENG Weijie, CUI Zezheng, LIU Mouhai, SHEN Liman, MA Yeqin Hunan Electric Power    2024, 44 (6): 1-9.   DOI: 10.3969/j.issn.1008-0198.2024.06.001 Abstract （332）      PDF（pc） （6388KB）（97）       Knowledge map    Save The cogeneration virtual power plant with hydrogen storage provides a new path for hydrogen storage to participate in grid scheduling and consume new energy by combining the cogeneration characteristics of the aggregated resources. First, the cogeneration characteristics of hydrogen storage energy are fully considered, and the day-ahead scheduling optimization model that minimizes the comprehensive operating cost of the virtual power plant is established to make decisions on the day-ahead output plan of the aggregated resources under the condition of meeting the heat and electricity load demand.Then,the day-ahead hydrogen demand forecast model is established by considering the load-side hydrogen demand, including the hydrogen fuel demand of hydrogen buses and hydrogen cars. Next, the hydrogen demand is embedded as a constraintinto the virtual power plant day-ahead scheduling optimization model to obtain the optimal operation strategy of the virtual power plant under the consideration of hydrogen load demand. Finally,a simulation analysis in a park is conducted, and the results show that the operating cost of the optimal scheduling strategy of the virtual power plant considering the revenue from hydrogen sales is reduced by 24.6% compared with the traditional virtual power plant scheduling strategy only considering the characteristics of hydrogen storage cogeneration. Reference | Related Articles | Metrics

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A Method of Wind Farms Limit Capacity Increase Considering Influence of Environmental Temperature and Wind Speed HE Guangling, QU Junhui, YE Shishun, FAN Qiumin, WANG Tong, FANG Qilin Hunan Electric Power    2024, 44 (5): 117-123.   DOI: 10.3969/j.issn.1008-0198.2024.05.018 Abstract （160）      PDF（pc） （9048KB）（94）       Knowledge map    Save At present, only the influence of wind speed is considered in the calculation of the transmission capacity of wind farms, and the influence of ambient temperature is not considered.In the analysis of the ultimate current carrying capacity of overhead conductors,the special working environment of wind power is not considered, resulting in the waste of wind farm line transmission resources. Therefore, this paper proposes a method to increase the capacity of wind farms considering the influence of ambient temperature and wind speed to maximize the development and utilization of wind power resources. Firstly, the influence of ambient temperature is added on the basis of the traditional turbine output model, and the turbine output model is improved. Then, through the overhead conductor thermal balance equation, the ultimate current-carrying model of the conductor considering the combined influence of ambient temperature and wind speed is established. Finally, by drawing the distribution of the total output surface of the wind turbine and the ultimate current-carrying surface of the conductor in the coordinate system of ambient temperature and wind speed, the output of the wind turbine is matched with the limiting current-carrying characteristics of the conductor to obtain the maximum allowable output capacity of the wind farm. The simulation results show that the wind power transmission line with the same conductor cross-section has a certain transmission power margin, and the paper method can determine the ultimate transmission capacity of the wind farm and improve the economic benefits of the wind farm, which is of great significance for guiding the capacity increase of the wind farm. Reference | Related Articles | Metrics

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Spatial Electric Field Distribution Characteristics of Insulator Strings in High-Voltage Overhead Transmission Lines With Zero Value Insulators LI Yaoqin, HUO Feng, NAN Jing, LIU Qin, ZHANG Tianyu Hunan Electric Power    2024, 44 (5): 37-44.   DOI: 10.3969/j.issn.1008-0198.2024.05.006 Abstract （177）      PDF（pc） （8858KB）（92）       Knowledge map    Save This article uses finite element simulation calculation method to study the electric field distribu‍tion characteristics when zero value insulators appear in different insulator string types of 110 kV and 220 kV, and compares the sensitivity of composite field strength and axial field strength to zero value insula‍tors. The influence of zero value insulators on different string types is analyzed for single I suspension string, double II suspension string, and tension string.In addition, the influence of zero value insulator position and number on field strength distribution characteristics is quantitatively analyzed. The results show that the axial field strength is more sensitive to the occurrence of zero value insulators, and it is more suitable as a characteristic quantity for detecting zero value insulators. The presence of zero value insulators on the high-voltage side has the greatest impact on the electric field distribution. For the suspension double II string, the field strength on both sides should be measured separately to determine the location of zero value insulators. The decrease in field strength for two and three consecutive zero values is twice and 2.3 times that of a single zero valuerespectively. Reference | Related Articles | Metrics

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Current Status and Prospects of Hydrodynamic Research in Coal-Fired Boiler Power Plants QIN Yue, LI Debo, QIN Wu, ZHENG Haoyi, YU Fengjian Hunan Electric Power    2024, 44 (5): 1-8.   DOI: 10.3969/j.issn.1008-0198.2024.05.001 Abstract （199）      PDF（pc） （10744KB）（91）       Knowledge map    Save A study is conducted on the dynamic characteristics of tube wall superheated water in response to the phenomenon of overheating on the heating surface of coal-fired power plant boilers.Through research, it has been found that inaccurate thermal calculations,improper selection of burners,unreasonable arrange‍ment of heating surfaces, and insufficient temperature control conditions ultimately lead to overheating of the boiler heating surface due to thermal deviation oxidation. Through hydrodynamic calcula‍tions, a wall temperature distribution model is established to reveal the fundamental cause of overheating and tube bursting on the heating surface, providing a detailed theoretical basis for analyzing wall temperature changes and developing measurement methods. Reference | Related Articles | Metrics

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Distribution Network Component Positioning Methods Based on Multi-Modal Image Information HUANG Zhihong, YAN Xingyu, TAO Yan, ZHANG Hui, XU Xianyong Hunan Electric Power    2024, 44 (6): 83-89.   DOI: 10.3969/j.issn.1008-0198.2024.06.012 Abstract （363）      PDF（pc） （17309KB）（91）       Knowledge map    Save A multi-modal image component localization method for distribution network inspection is proposed for the task of thermal fault discrimination of distribution network components. The method includes two key steps that is multi-modal image information coordination and object detection. Firstly, a self-adaptive image registration method is proposed to address the issue of misalignment between high-resolution visible light images and infrared images with temperature information,which can complete high-quality cross modal registration tasks. Secondly,the prediction information of the registered visible image is transferred to the infrared image by the prediction information transfer method to complete the detection of the infrared image. The results show that compared with direct detection of infrared images,the proposed method can improve detection accuracy by 18.4% and performs extremely well in terms of precision and recall. Reference | Related Articles | Metrics

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Research on Battery Life Prediction Based on Early Aging and Transfer Learning YANG Tian, SHEN Jinran, GUAN Yibiao, GAO Fei, JIANG Tian, LIU Qing Hunan Electric Power    2025, 45 (1): 1-7.   DOI: 10.3969/j.issn.1008-0198.2025.01.001 Abstract （245）      PDF（pc） （6633KB）（90）       Knowledge map    Save To address the problems of insufficient reliability and poor generalization in life prediction of energy storage batteries, a large-capacity energy storage battery remaining life prediction method based on LSTM is proposed, which only adopts the early aging data of the batteryfrom the first 150 cycles as the inputand realizes accurate prediction of the remaining life of energy storage batteries through the model training method of the sliding-window method. This approach achieves a remarkable root mean square error (RMSE) of 0.11% over a full national standard testing period of 1000 cycles. Additionally, a transfer learning module is developedand for the new model of energy storage batteries, the 150th to 250th cycles are used for the migration correction of the basic model, which reduces RMSE of the battery life prediction from 0.50% to 0.10%. This advancement enhances the generalization of the life prediction model, providing a solution for the practical application of the life prediction technology in the field of energy storage battery production, testing and evaluation. Reference | Related Articles | Metrics

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Method of Current Disturbance Observation Control for LCL-Type Grid Connected Inverters With Additional Virtual Impedance ZHU Hongping, GUO Liwen, QIAN Wanming, ZHU Hongzhi, HAN Yinglong Hunan Electric Power    2024, 44 (2): 35-43.   DOI: 10.3969/j.issn.1008-0198.2024.02.005 Abstract （246）      PDF（pc） （10709KB）（89）       Knowledge map    Save Aiming at the fact that the output current quality of actual LCL-type grid connected inverters is easily affected by grid voltage background harmonics and grid impedance under weak current grid conditions,this paper proposes a current disturbance observation and control method for LCL-type grid connected inverters with additional virtual impedance.Firstly,this paper introduces a disturbance observer on the basis of conventional double closed-loop control,treating the background harmonic of the grid voltage as an external disturbance of the system.The disturbance observer is used to estimate the disturbance momentum in real time and dynamically eliminate the influence of disturbance on the system through feedforward compensation.Secondly, impedance analysis method is used to analyze the robustness problem caused by grid impedance in weak current grid systems.Based on the current disturbance observation control method,virtual impedance is added for optimization design,so that the phase margin of the grid connected inverter system is still greater than the stability margin constrained by the system when the impedance intersection frequency changes within a large range.The simulation comparison results show,the proposed method improves the robustness of the system to grid impedance while maintaining good current quality. Reference | Related Articles | Metrics