中国电力 ›› 2019, Vol. 52 ›› Issue (2): 34-45.DOI: 10.11930/j.issn.1004-9649.201805179

• 需求响应策略研究专栏 • 上一篇    下一篇

计及滚动评价的居民群需求响应策略

孙毅1, 刘昌利1, 刘迪1, 李彬1, 景栋盛2, 陈宋宋3   

  1. 1. 华北电力大学 电气与电子工程学院, 北京 102206;
    2. 苏州供电公司信息通信分公司, 江苏 苏州 215004;
    3. 中国电力科学研究院有限公司, 北京 100192
  • 收稿日期:2018-05-28 修回日期:2018-10-18 出版日期:2019-02-05 发布日期:2019-03-27
  • 作者简介:孙毅(1972-),男,博士,教授,从事电力系统通信与信息技术、智能配用电大数据等方面研究,E-mail:sy@ncepu.edu.cn;刘迪(1990-),男,博士研究生,从事能源互联网信息通信技术、电力需求响应等研究,E-mail:kfliudi@163.com;李彬(1983-),男,博士,副教授,从事电力系统自动化与信息化等研究,E-mail:direfish@163.com;景栋盛(1981-),男,硕士,工程师,从事信息通信技术应用研究,E-mail:jds_sz@js.sgcc.com.cn;陈宋宋(1987-),男,硕士,工程师,从事能效与智能用电技术研究,E-mail:chensongsong2010@163.com
  • 基金资助:
    国家自然科学基金资助项目(51777068);国家电网公司科技项目(大受端电网紧急故障条件下用户负荷群快速调控系统的信息通信关键支撑技术研究,SGJSSZ00FZWT1701004)。

Residents Demand Response Strategy Considering Rolling Evaluation

SUN Yi1, LIU Changli1, LIU Di1, LI Bin1, JING Dongsheng2, CHEN Songsong3   

  1. 1. School of Electric and Electronic Engineering, North China Electric Power University, Beijing 102206, China;
    2. Information and Communication Branch, Suzhou Power Supply Company, Suzhou 215004, China;
    3. China Electric Power Research Institute, Beijing 100192, China
  • Received:2018-05-28 Revised:2018-10-18 Online:2019-02-05 Published:2019-03-27

摘要: 开展需求响应能够有效地平抑负荷波动、降低负荷用电峰谷差,但用户响应的不确定性,极大地阻碍了需求响应业务的开展。为此,策略依托以聚合商为中心的需求响应架构,以基线负荷功率推演为支撑,考虑用户实时状态、满意度和自动需求响应的实施特性,建立响应评估模型,采用滚动评价的方式,以评价结果为导向降序选择可预期性强的用户参与业务,尽可能降低居民用户群参与下的自动需求响应的不确定性。仿真结果表明,策略可以在节约需求侧资源的同时降低用户群响应误差比例。

关键词: 聚合商, 居民群, 需求响应, 滚动评价, 响应评估

Abstract: Carrying out demand response can effectively stabilize the load fluctuation and reduce the difference between peak and valley load power consumption. However, the uncertainty of user response has greatly hindered the development of demand response service. For this reason, a research is made on the residential demand response strategy considering rolling evaluation, which is relied on the aggregate-centered demand response architecture, and supported by the baseline loads power deduction, with consideration of the implementation characteristics of real-time state, satisfaction and automatic demand response of users. A response evaluation model is established, and the rolling evaluation method is used to select predictable users to participate in the business in descending order according to the evaluation results, so as to minimize the uncertainty of the automatic demand response for the participation of residential users. Simulation results show that the strategy can save the demand side resources and reduce the response errors of user group.

Key words: aggregator, residents, demand response, rolling evaluation, response assessment

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