电机与控制应用2024，Vol.51Issue(8)：1-11,11.DOI:10.12177/emca.2024.081
基于能量共享的多微网协同优化调度
Multi-Microgrids Cooperative Optimal Scheduling Based on Energy Sharing
吴彦伟 1姚刚 2王海全 1徐建松 1尹大鹏 1夏雨3
作者信息
- 1. 国电南瑞科技股份有限公司,江苏南京 211106
- 2. 国电南瑞科技股份有限公司,江苏南京 211106||国电南瑞科技股份有限公司 电网运行风险防御技术与装备全国重点实验室,江苏南京 211106||上海交通大学电子信息与电气工程学院,上海 200240
- 3. 国电南瑞科技股份有限公司,江苏南京 211106||国电南瑞科技股份有限公司 电网运行风险防御技术与装备全国重点实验室,江苏南京 211106
- 折叠
摘要
Abstract
As an important part of the new power system,the energy interaction and sharing of multi-microgrids are conducive to the consumption of renewable energy and the enhancement of multi-agents operation efficiency.Aiming at the multi-microgrids source-load uncertainty and data privacy problems,a multi-microgrids cooperative optimal scheduling method based on energy sharing is proposed.Firstly,a shared energy storage and microgrid economic dispatching model based on a multi-agent interaction framework is constructed.Then,the power pricing strategies for shared energy storage and the economic scheduling decisions for multi-microgrids are realized by deep reinforcement learning method and mathematical planning method,respectively.Finally,simulation data analysis shows that the proposed cooperative optimal scheduling method can quickly cope with the stochastic variation of source-load,as well as effectively reduce the operation cost of multi-microgrids.关键词
多微网/共享储能/协同优化/强化学习Key words
multi-microgrids/shared energy storage/cooperative optimal/reinforcement learning分类
信息技术与安全科学引用本文复制引用
吴彦伟,姚刚,王海全,徐建松,尹大鹏,夏雨..基于能量共享的多微网协同优化调度[J].电机与控制应用,2024,51(8):1-11,11.
