| 引用本文: | 龚诚嘉锐,林顺富,边晓燕,李东东,沈运帷.基于多主体主从博弈的负荷聚合商经济优化模型[J].电力系统保护与控制,2022,50(2):30-40.[点击复制] |
| GONG Chengjiarui,LIN Shunfu,BIAN Xiaoyan,LI Dongdong,SHEN Yunwei.Economic optimization model of a load aggregator based on the multi-agent Stackelberg game[J].Power System Protection and Control,2022,50(2):30-40[点击复制] |
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| 摘要: |
| 在未来电力市场环境下，针对具有不同利益诉求的主体实现经济优化调度问题，基于电价型需求响应与主从博弈，提出了以负荷聚合商经济效益最大、电动汽车与空调各自用电成本最低、分布式电源运营商经济效益最大为目标的经济优化模型。通过优化负荷聚合商发布的电价信息、调整电动汽车与空调各自用电策略以及改变分布式电源运营商售电策略实现纳什均衡。利用仿真验证了所提模型在优化各主体经济性的同时能有效降低负荷峰谷差，提高新能源利用率。 |
| 关键词: 电动汽车 空调 负荷聚合商 需求响应 主从博弈 多主体 能量管理 |
| DOI：DOI: 10.19783/j.cnki.pspc.210394 |
| 投稿时间：2021-04-12修订日期：2021-08-25 |
| 基金项目:国家重点研发计划(2017YFB0903400)；上海市科学技术委员会项目资助(19020500800)；上海市教育发展基金会和上海市教育委员会“曙光计划”(20SG52) |
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| Economic optimization model of a load aggregator based on the multi-agent Stackelberg game |
| GONG Chengjiarui,LIN Shunfu,BIAN Xiaoyan,LI Dongdong,SHEN Yunwei |
| (1. College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China;
2. Shanghai Key Laboratory of Smart Grid Demand Response, Shanghai 200063, China) |
| Abstract: |
| In the future electricity market environment there will be many demands for economic optimal scheduling from different interested parties. Thus, based on the price-based demand response and the Stackelberg game, an economic optimization model is proposed to: maximize the economic benefits of the load aggregator; minimize the electricity costs of electric vehicles and air conditioners; maximize the economic benefits for the distributed generation operator. The Nash equilibrium can be achieved by optimizing the electricity price information released by the load aggregator, adjusting the respective electricity consumption strategies of electric vehicles and air conditioners, and changing the electricity sales strategies of the distributed generation operator. The simulation results show that the proposed model can optimize the economy of each subject, reduce the load peak valley difference and improve the utilization rate of renewable energy.
This work is supported by the National Key Research and Development Program of China (No. 2017YFB0903400). |
| Key words: electric vehicles (EV) air conditioners (AC) load aggregator (LA) demand response Stackelberg game multi agent energy management |
