摘要
近年来,作为消纳可再生能源的有效方式之一,微电网在新型电力系统中扮演了愈来愈重要的角色,取得了显著的发展。但微电网的大量接入,改变了传统配电网的单级调度模式,使得调度过程中所面临的计算和通信任务日益繁重,而现行调度策略难以兼顾配电网运营商及微电网等多主体的利益诉求,也难以满足调度过程的计算高效性与通信私密性要求。对此,提出了一种基于多智能体算法的多微电网-配电网分层协同调度策略。首先,考虑配电网运营商与微电网在电力市场运行中的主从关系,构建了基于双层Stackelberg博弈的多微电网-配电网电力交易模型;然后,将多微电网-配电网协同调度表述为马尔可夫决策过程,采用基于数据驱动的多智能体深度策略性梯度算法求解Stackelberg均衡;最后,基于改进IEEE 33节点系统开展算例分析,验证了所提模型及算法的有效性。
In recent years,as one of the effective ways to utilize renewable energy,microgrids play an increasingly important role in the new power system and achieve remarkable progress.However,the massive access of microgrids has changed the single-stage dispatching mode of the traditional distribution network,and brought rather onerous tasks to the calculation and communication in the dispatching process.The existing dispatching schemes fail to take into account the interests of distribution network operators and microgrids as well as other multiple entities,nor can it meet the requirements of computing efficiency and communication privacy in the dispatching process.In this regard,a hierarchical cooperative dispatching strategy of multi-microgrid and distribution networks based on a multi-agent algorithm is proposed.First,considering the leader-follower relationship between distribution network operators and microgrids in power market operation,a power transaction model of multi-microgrid and distribution networks based on two-layer Stackelberg game is constructed.Then,the power coordinated dispatching of multi-microgrid and distribution networks is expressed as a Markov decision process,and the Stackelberg equilibrium is solved by using data-driven multi-agent deep deterministic policy gradient algorithm.Finally,a numerical case based on the modified IEEE 33-bus system is analyzed to verify the effectiveness of the proposed model and algorithm.
作者
陈池瑶
苗世洪
姚福星
王廷涛
王佳旭
魏文荣
CHEN Chiyao;MIAO Shihong;YAO Fuxing;WANG Tingtao;WANG Jiaxu;WEI Wenrong(School of Electrical and Electronic Engineering,Huazhong University of Science and Technology,Wuhan 430074,China;State Key Laboratory ofAdvanced Electromagnetic Engineering and Technology,Huazhong University of Science and Technology,Wuhan 430074,China;Hubei Electric Power Security and High Efficiency Key Laboratory,Huazhong University of Science and Technology,Wuhan 430074,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2023年第10期57-65,共9页
Automation of Electric Power Systems
基金
国家电网有限公司总部管理科技项目(5419-202199551A-0-5-ZN)。
