中国电力 ›› 2022, Vol. 55 ›› Issue (9): 64-69.DOI: 10.11930/j.issn.1004-9649.202103029

• 电力市场 • 上一篇    下一篇

基于二级聚集式的端对端电力交易控制策略

陈培育1, 崇志强1, 李树青1, 郗晓光1, 李振斌1, 王慧媛2   

  1. 1. 国网天津市电力公司电力科学研究院,天津 300384;
    2. 智能电网教育部重点实验室 (天津大学),天津 300072
  • 收稿日期:2021-03-04 修回日期:2022-08-03 发布日期:2022-09-20
  • 作者简介:陈培育(1983—),男,硕士,高级工程师(教授级),从事电力市场研究,E-mail:peiyu.chen@tj.sgcc.com.cn;崇志强(1988—),男,通信作者,硕士,工程师,从事电力市场研究,E-mail:czq881226@163.com;李树青(1965—),男,工程师,从事电力市场研究,E-mail:shuqing.li@tj.sgcc.com.cn
  • 基金资助:
    国网天津市电力公司科技项目(KJ20-1-34)。

A Control Algorithm Based on Two-Stage Aggregation for P2P Energy Trading in Community Microgrids

CHEN Peiyu1, CHONG Zhiqiang1, LI Shuqing1, XI Xiaoguang1, LI Zhenbin1, WANG Huiyuan2   

  1. 1. Electric Power Research Institute, State Grid Tianjin Electric Power Company, Tianjin 300384, China;
    2. Key Laboratory of Smart Grid of Ministry of Education (Tianjin University), Tianjin 300072, China
  • Received:2021-03-04 Revised:2022-08-03 Published:2022-09-20
  • Supported by:
    This work is supported by Science and Technology Project of State Grid Tianjin Electric Power Company (No.KJ20-1-34).

摘要: 为更好地实现端对端电力交易,提出了二级聚集式控制策略。该策略只需一个数据监测点和从监测点到产消者的单向通信就能够实现端对端电力交易。其中,第一级控制采用带约束的非线性优化,以最小化社区微电网电费为目标,第二级控制采用基于规则的实时控制策略。通过仿真算例验证了控制策略的有效性,并对比分析了在社区微电网中采用集中式和分布式蓄电池对电能损耗及电费的影响。

关键词: 端对端电力交易, 产消者, 社区微电网, 控制策略

Abstract: In order to better realize peer-to-peer (P2P) energy trading, a two-stage aggregated control strategy is proposed. where only one measurement point and one-way communication from the measurement point to individual prosumers are required. In the first stage, the constrained non-linear programming (CNLP) optimization is used to minimize the energy costs of the community. In the second stage, a rule-based real-time control strategy is adopted. The proposed control algorithm is validated for its effectiveness through case simulation, and comparison has been carried out between different control algorithms to identify the most effective approach in reducing energy losses and prosumers’ energy bills.

Key words: peer to peer energy trading, prosumer, community microgrid, control algorithm