湖南电力 ›› 2023, Vol. 43 ›› Issue (6): 63-67.doi: 10.3969/j.issn.1008-0198.2023.06.010

• 研究与试验 • 上一篇    下一篇

湖南省居民峰谷分时电价方案研究

黄珉淇1, 戴丹丹2,3, 张莉2,3, 廖菁2,3, 潘馨2,3   

  1. 1.国网湖南省电力有限公司,湖南 长沙 410004;
    2.国网湖南省电力有限公司经济技术研究院,湖南 长沙 410007;
    3.能源互联网供需运营湖南省重点实验室,湖南 长沙 410007
  • 收稿日期:2023-10-09 修回日期:2023-10-30 出版日期:2023-12-25 发布日期:2024-01-07
  • 通信作者: 戴丹丹(1993),女,硕士,从事电价研究。
  • 作者简介:黄珉淇(1983),男,本科,会计师,从事电价研究。
    廖菁(1980),男,硕士,高级工程师,从事能源电力及电网规划研究。
    潘馨(1995),女,硕士,工程师,从事电力负荷、电力供需研究。
  • 基金资助:
    国网湖南省电力有限公司科技项目(5216A221N005);能源互联网供需运营湖南省重点实验室项目(2019TP1053)

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

HUANG Minqi1, DAI Dandan2,3, ZHANG Li2,3, LIAO Jing2,3, PAN Xin2,3   

  1. 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

摘要: 针对湖南省电网消费结构问题,提出居民分时电价方案策略,以居民用电负荷数据为基础,应用层次聚类方法,划分居民用电峰谷时段。基于居民用电需求异质性,构建需求价格弹性模型,综合考虑优化负荷特性价差等合理条件,在现行居民阶梯电价政策基础上调整电价价差,获得最优分时电价方案,引导居民合理用电,提升湖南电力系统运行效率。

关键词: 峰谷电价, 居民分时电价, 需求价格弹性分析, 电网负荷

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

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