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1.华中科技大学电气与电子工程学院,湖北省武汉市 430074
2.强电磁工程与新技术国家重点实验室,华中科技大学,湖北省武汉市 430074
3.电力安全与高效湖北省重点实验室,华中科技大学,湖北省武汉市 430074
陈池瑶(1999—),女,硕士研究生,主要研究方向:电网智能调度与自动化技术、微电网优化运行。E-mail:m202171885@hust.edu.cn
苗世洪(1963—),男,通信作者,博士,教授,博士生导师,主要研究方向:电力系统保护与控制、配电网及微电网新技术、电网智能调度与自动化技术、压缩空气储能建模及应用等。E-mail:shmiao@hust.edu.cn
姚福星(1998—),男,博士研究生,主要研究方向:储能优化规划及运行、电网智能调度与自动化技术。E-mail:yaofuxing@hust.edu.cn
收稿:2022-11-15,
修回:2023-02-24,
网络出版:2023-04-23,
纸质出版:2023-05-25
移动端阅览
陈池瑶,苗世洪,姚福星等.基于多智能体算法的多微电网-配电网分层协同调度策略[J].电力系统自动化,2023,47(10):57-65.
CHEN Chiyao,MIAO Shihong,YAO Fuxing,et al.Hierarchical Cooperative Dispatching Strategy of Multi-microgrid and Distribution Networks Based on Multi-agent Algorithm[J].Automation of Electric Power Systems,2023,47(10):57-65.
陈池瑶,苗世洪,姚福星等.基于多智能体算法的多微电网-配电网分层协同调度策略[J].电力系统自动化,2023,47(10):57-65. DOI: 10.7500/AEPS20221115002.
CHEN Chiyao,MIAO Shihong,YAO Fuxing,et al.Hierarchical Cooperative Dispatching Strategy of Multi-microgrid and Distribution Networks Based on Multi-agent Algorithm[J].Automation of Electric Power Systems,2023,47(10):57-65. DOI: 10.7500/AEPS20221115002.
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.
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