基于融合专家知识DDPG的孤岛微电网频率调节策略  

Frequency Regulation Strategy of Isolated Island Microgrid Based on Fusion Expert Knowledge DDPG

作　　者：黄堃[1,2] 付明[2] 梁加本[2] HUANG Kun;FU Ming;LIANG Jiaben(College of Electronic Science and Engineering,Southeast University,Nanjing 210096,China;Nari Technology Development Limited Company,Nanjing 211106,China)

机构地区：[1]东南大学电子科学与工程学院,江苏南京210096 [2]国电南瑞科技股份有限公司,江苏南京211106

出　　处：《中国电力》2024年第2期194-201,共8页Electric Power

基　　金：国家电网有限公司科技项目(面向高比例新能源消纳的微电网群协同优化调控技术研究及示范,4000-202219058A-1-1-ZN)。

摘　　要：随着风、光等间歇性新能源接入到孤岛微电网,传统控制方法在进行频率调节时难以有效协同源-荷-储等多种资源以应对源-荷的随机性波动所导致的频率偏差问题。为此,提出了一种融合专家知识与深度确定性策略梯度(DDPG)的孤岛微电网频率调节算法,通过专家知识的经验规则引导各调控设备与环境高效交互,提升多资源协同频率调节的性能。仿真结果表明所提调频策略能够充分挖掘微网内多种资源的调频潜力,并有效提升调频性能。With the wide access of intermittent renewable energy such as wind and PV to island microgrid,it is difficult for traditional control methods to effectively coordinate multiple resources such as source-charge-storage in frequency regulation to deal with the frequency deviation caused by random fluctuations of source-charge.In this paper,a frequency regulation algorithm for island microgrid based on the fusion of expert knowledge and deep deterministic policy gradient(DDPG)is proposed to solve the above problems.The algorithm guides the efficient interaction between the regulatory equipment and the environment through the empirical rules of expert knowledge and improve the performance of multi-resource collaborative frequency adjustment.The simulation results show that the frequency regulation strategy can make full use of multiple resources in the microgrid for frequency regulation and effectively improve the frequency regulation performance.

关 键 词：孤岛微电网 频率调节 专家知识 深度确定性策略梯度 

分 类 号：TM727[电气工程—电力系统及自动化]