Research on Residential Peak-Valley Time-of-Use Electricity Price Scheme for in Hunan Province

doi:10.3969/j.issn.1008-0198.2023.06.010

Hunan Electric Power ›› 2023, Vol. 43 ›› Issue (6): 63-67.doi: 10.3969/j.issn.1008-0198.2023.06.010

• Researches and Tests • Previous Articles Next Articles

Research on Residential Peak-Valley Time-of-Use Electricity Price Scheme for in Hunan Province

HUANG Minqi¹, DAI Dandan^2,3, ZHANG Li^2,3, LIAO Jing^2,3, PAN Xin^2,3

1. State Grid Hunan Electric Power Company Limited,Changsha 410004, China;
2. State Grid Hunan Electric Power Company Limited Economic & Technical Research Institute, Changsha 410007, China;
3. Hunan Key Laboratory of Energy Internet Supply-Demand and Operation,Changsha 410007,China

Received:2023-10-09 Revised:2023-10-30 Online:2023-12-25 Published:2024-01-07

Abstract

Abstract: Aiming at the problem of power grid consumption structure in Hunan Province, the strategy of residential time-of-use electricity price scheme is proposed. Based on the residential electricity load data, the hierarchical clustering method is applied to divide the peak and valley periods of residents. Based on the heterogeneity of residential electricity demand, a demand price elasticity model is constructed, and on the basis of the current residential tiered electricity price policy, and with the goal of peak shaving and valley filling, a peak-valley time-of-use electricity price scheme for residents in Hunan Province is formulated.

Key words: peak-to-valley electricity prices, residential time-of-use electricity price, demand price elasticity analysis, grid load

CLC Number:

TM715.3
F426

HUANG Minqi, DAI Dandan, ZHANG Li, LIAO Jing, PAN Xin. Research on Residential Peak-Valley Time-of-Use Electricity Price Scheme for in Hunan Province[J]. Hunan Electric Power, 2023, 43(6): 63-67.

References

[1]李春燕,许中,马智远.计及用户需求响应的分时电价优化模型[J].电力系统及其自动化学报,2015,27(3):11-16.
[2]杨贺钧,时瑞廷,马英浩,等.考虑多重分时电价和效益潜力的电力储能系统调度策略[J].电力自动化设备,2021,41(10):130-137.
[3]高原,杨贺钧,郭凯军,等.考虑负荷季节特性的电价型需求响应最优定价策略[J].电力建设,2023,44(1):55-63.
[4]孙建军,张世泽,曾梦迪,等.考虑分时电价的主动配电网柔性负荷多目标优化控制[J].电工技术学报,2018,33(2):401-412.
[5]刘仲民,呼彦喆,高敬更,等.基于改进FCM算法的季节负荷谷平峰时段划分研究[J].计算机与数字工程,2022,50(6):1381-1386,1397.
[6]LIM K M, LIM S Y, YOO S H. Short-and long-run elasticities of electricity demand in the Korean service sector[J].Energy Policy,2014,67:517-521.
[7]PELLINI E. Estimating income and price elasticities of residential electricity demand with Autometrics[J].Energy Economics,2021,101:105411.
[8]SAHA D, BHATTACHARYA R N. An analysis of elasticity of electricity demand in West Bengal, India: Some policy lessons learnt[J].Energy Policy, 2018,114:591-597.
[9]ZHAI Z, ZHANG L, HOU X, et al. Price elasticity of electricity demand in China-A new instrument variable based on marketization policy[J].Energy for Sustainable Development,2023,76:101275.
[10]BALARAMA H, ISLAM A, KIM J S, et al. Price elasticities of residential electricity demand: Estimates from household panel data in Bangladesh[J]. Energy Economics,2020,92:104937.
[11]徐广达,张利,梁军,等.基于设备用电特征的居民电力需求价格弹性评估[J].电力系统自动化,2020,44(13):48-55.
[12]卜飞飞,白宏坤,王圆圆,等.基于人体舒适度指数的居民用电分析及用电负荷预测研究[J].中国测试,2023,49(4):85-91.
[13]胡振,龚薛.常住人口家庭规模与年龄结构对城市居民用电的影响[J].环境污染与防治,2020,42(10):1252-1258.
[14]严强,李扬,樊友杰,等.基于加权表决集成聚类的居民用电行为回归分析[J].电网技术,2021,45(11):4435-4446.
[15]陈洪涛,岳书敬,朱雨婷.居民用电消费回弹效应研究:基于人均收入和性别差异的视角[J].中国环境管理,2019,11(1):47-52,37.
[16]谢里,伍婷,安莉莉.电价扭曲对居民消费的影响[J].环境经济研究,2021,6(4):40-64.
[17]吴英俊,刘成骏,林智威,等.考虑成本与收益摊配的电力需求响应博弈模型[J].电力建设,2021,42(6):135-144.
[18]王刚,宋艺航,黄博,等.基于非完全信息Stackelberg博弈的居民用户分时电价定价策略研究[J].供用电,2021,38(2):46-52.
[19]赵鸿图,朱治中,于尔铿.电力市场中需求响应市场与需求响应项目研究[J].电网技术,2010,34(5):146-153.
[20]AALAMI H A, PARSA MOGHADDAM M, YOUSEFI G R.Evaluation of nonlinear models for time-based rates demand response programs[J].International Journal of Electrical Power & Energy Systems,2015,65:282-290.
[21]刘浩田,陈锦,朱熹,等.一种基于价格弹性矩阵的居民峰谷分时电价激励策略[J].电力系统保护与控制,2021,49(5):116-123.
[22]初保驹,朱少林.新电改背景下阶梯分时电价模型优化研究[J].价格理论与实践,2020(2):43-46,174.

Research on Residential Peak-Valley Time-of-Use Electricity Price Scheme for in Hunan Province

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 3

Recommended Articles

Metrics

Comments

[1]	WANG Yinan, CHEN Heng, FAN Lanxin, PAN Peiyuan, XIN Cheng, JIANG Xue. Research on Comprehensive Benefit Evaluation of Power Transmission and Transformation Projects Based on Im‍proved TOPSIS-RSR Method [J]. Hunan Electric Power, 2024, 44(6): 104-112.
[2]	CHEN Ting, XU En, WANG Haowen, XIE Xiaolin, WU Qian. Beautification Algorithm of Distribution Network GIS Diagram for Distribution Network Based on Tyson Polygon [J]. Hunan Electric Power, 2023, 43(5): 121-128.
[3]	GUAN Zhanglei, ZHAO Tianyang, CAI Zelin. Review on Joint Emergency Operation of Mobile Energy Storage Networks and Distribution Systems [J]. Hunan Electric Power, 2022, 42(6): 19-26.