中国电机工程学报2024，Vol.44Issue(6)：2078-2096,后插1,20.DOI:10.13334/j.0258-8013.pcsee.222708
市场环境下智能配用电系统分层协同优化运行:研究挑战、进展与展望
Hierarchical Coordinated Optimization for Power Distribution and Consumption System Operation in a Market Environment:Challenges,Progress and Prospects
摘要
Abstract
With the increasing proliferation of distributed energy resources in the distribution network,how to establish an effective market-based trading mechanism in the power distribution and consumption system,while achieving efficient and coordinated optimization of market trading and power system operation has attracted unprecedented research interests in China and beyond.In the market environment,the operation and management of each layer of the power distribution and consumption system face multiple challenges,including the layer-wise increasing uncertainties,the increasing scale of market transactions,and lack of efficient coordination of market trading and safe operation of the system.This paper firstly outlines the critical scientific problems associated with optimal operation of power distribution and consumption systems in a market environment.Second,it critically reviews and summarizes existing research efforts in this area,employing conventional optimization-based solution techniques,and subsequently concludes remaining issues that deserve further research attention.Going further,this paper comprehensively reviews relevant deep reinforcement learning techniques and outlines their current applications in the examined research area,considering the primary characteristics pertaining to market trading and dispatch challenges associated with distribution and consumption system.Finally,this paper details three directions which require further research efforts,and also dives deep in revealing how deep reinforcement learning techniques can be developed and extended to support relevant research activities.关键词
配电市场运营/配电系统调度/可交易能源/需求侧管理/强化学习/多智能体系统Key words
distribution market operation/distribution system dispatch/transactive energy/demand side management/reinforcement learning/multi-agent systems分类
信息技术与安全科学引用本文复制引用
叶宇剑,吴奕之,胡健雄,汤奕,陈涛,Goran STRBAC..市场环境下智能配用电系统分层协同优化运行:研究挑战、进展与展望[J].中国电机工程学报,2024,44(6):2078-2096,后插1,20.基金项目
国家自然科学基金(青年基金项目)(52207082) （青年基金项目）
江苏省基础研究计划自然科学基金青年基金项目(BK20220842,BK20210243).Project Supported by National Natural Science Foundation of China(Young Scientistic Program)(52207082) （BK20220842,BK20210243）
Natural Science Foundation of Jiangsu Province for Young Scientist(BK20220842,BK20210243). （BK20220842,BK20210243）
