Research on Fast Voltage Regulation Control Strategy for Wind Farm Based on GOOSE Communication

doi:10.3969/j.issn.1008-0198.2022.05.005

Hunan Electric Power ›› 2022, Vol. 42 ›› Issue (5): 29-35.doi: 10.3969/j.issn.1008-0198.2022.05.005

• Special recommendation • Previous Articles Next Articles

Research on Fast Voltage Regulation Control Strategy for Wind Farm Based on GOOSE Communication

GUO Chunling^1,2, CAI Guoyang^1,2, SHAN Xin^1,2, NIU Chao^1,2

1. NARI Group Corporation(State Grid Electric Power Research Institute) ,Nanjing 211000, China;
2. NARI Technology Co. Ltd., Nanjing, 211000, China

Received:2022-06-27 Revised:2022-07-21 Online:2022-10-25 Published:2022-11-16

Abstract

Abstract: In order to solve the problem of insufficient reactive power and voltage support capability of wind power generation, the reactive power and voltage support capability of wind turbine is analyzed firstly based on the characteristics of voltage sag and system impedance, the calculation method of total reactive power demand under voltage disturbance is proposed, finally generic object oriented substation event(GOOSE)rapid communication is introduced to construct the test environment in the wind farm, and the field test is carried out. The experimental results show that the strategy can provide fast reactive power and voltage support, and the response time can be reduced to less than 50 ms.

Key words: wind turbine, wind farm, new energy, fast voltage regulation control, GOOSE communication

CLC Number:

TM315
TM714

GUO Chunling, CAI Guoyang, SHAN Xin, NIU Chao. Research on Fast Voltage Regulation Control Strategy for Wind Farm Based on GOOSE Communication[J]. Hunan Electric Power, 2022, 42(5): 29-35.

References

[1]于琳,孙华东,徐式蕴,等. 电力电子设备接入电压支撑强度量化评估指标综述[J].中国电机工程学报,2022,42(2):499-515.
[2]陈国平,李明节,许涛,等. 关于新能源发展的技术瓶颈研究[J].中国电机工程学报,2017,37(1):20-27.
[3]陈磊,刘永奇,戴远航,等. 电力电子接口新能源并网的暂态电压稳定机理研究[J]. 电力系统保护与控制,2016,44(9):15-21.
[4]崔晓丹,吴家龙,雷鸣,等. 新能源高占比电力系统的连锁故障诱因及事故链搜索技术探讨[J].电力自动化设备,2021,41(7):135-143.
[5]王玎,沈阳武,邵筑,等. 湖南电网新能源消纳关键影响因素量化分析[J].湖南电力,2021,41(2):65-69.
[6]刘华志,李永刚,王优胤,等. 无功电压优化对新能源消纳的影响[J].电工技术学报,2019,34(S2):646-653.
[7]贾俊川,金一丁,赵兵,等. 风机低电压穿越控制对系统暂态过电压的影响及优化[J].电网技术,2021,45(2):526-533.
[8]王雪梅,王艺博,刘雨桐,等. 基于虚拟电抗的主动支撑型新能源机组低电压穿越控制方法[J/OL].电网技术:1-11(2022-02-16)[2022-06-21].DOI:10.13335/j.1000-3673.pst.2021.2148.
[9]崔杨,彭龙,仲悟之,等. 双馈型风电场群无功分层协调控制策略[J].中国电机工程学报,2015,35(17):4300-4307.
[10]过亮,孙素娟,刘璇,等. 风电大规模并网时机组级电压控制技术研究[J].电力电子技术,2022,56(3):69-72.
[11]唐挺. 风速波动下基于无功容量提升的双馈风电系统电压控制方法[D].重庆:重庆大学,2019.
[12]周瑜,李正烁. 双馈风力发电场无功支撑范围的鲁棒估计[J]. 电力系统自动化,2021, 45(5):86-96.
[13]蔡游明,李征,蔡旭. 以并网点电压和机端电压平稳性为目标的风电场无功电压协调控制[J].电力自动化设备,2018,38(8):166-173.
[14]李圣清,陈欣,郑剑,等. 基于模型预测控制的双馈风电场无功电压快速优化控制[J].湖南电力,2022,42(2):5-10.
[15]包正楷,季亮,常潇,等. 不平衡电压跌落下新能源场站的主动电压支撑控制[J]. 电力系统保护与控制,2021,49(16):161-169.
[16]向川,畅昶,周鑫,等. 大规模新能源并网下SVG协同风电场的电压精细化控制策略[J].电力科学与技术学报,2021,36(5):61-71.
[17]马明,杜婉琳,陶然,等. 基于鲁棒优化的风电场分层电压优化控制策略[J]. 天津大学学报(自然科学与工程技术版),2021,54(12):1309-1316.
[18]杨硕,王伟胜,刘纯,等. 改善风电汇集系统静态电压稳定性的无功电压协调控制策略[J].电网技术,2014,38(5):1250-1256.
[19]郭庆来,王彬,孙宏斌,等. 支撑大规模风电集中接入的自律协同电压控制技术[J]. 电力系统自动化,2015,39(1):88-93,130.

Research on Fast Voltage Regulation Control Strategy for Wind Farm Based on GOOSE Communication

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 4

Recommended Articles

Metrics

Comments

[1]	LI Yi, JIN Jiangjiang, ZHANG Peng, LI Chunli. Zero Sequence Resistive Current Differential Relay Protection Method of Tie-Line for Centralized New Energy Power Station [J]. Hunan Electric Power, 2023, 43(3): 120-124.
[2]	SHI Jiyin. Secondary Side Measurement Modeling Method of Voltage Fault Ride Through Model for Direct-Driven Wind Turbine [J]. Hunan Electric Power, 2023, 43(1): 63-69.
[3]	LUO Yanfei, XIAO Changyuan , SUN Maowen, LUO Shengxi, ZHANG Hualian. Cause Analysis and Preventive Measures of Wind Turbine Blade Tower Sweeping [J]. Hunan Electric Power, 2023, 43(1): 116-120.
[4]	LIU Hui, XIE Wei, LI Chengshuai, GUO Feiyang. Research on Grid Source Coordination Technology Problem in New Energy Power Station [J]. Hunan Electric Power, 2022, 42(4): 81-84.