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作 者:Bo Yang Rui Zhang Jie Zhang Xianlong Cheng Jiale Li Yimin Zhou Yuanweiji Hu Bin He Gongshuai Zhang Xiuping Du Si Ji Yiyan Sang Zhengxun Guo
机构地区:[1]Faculty of Electric Power Engineering,Kunming University of Science and Technology,Kunming,650500,China [2]China Southern Power Grid Honghe Power Supply Bureau,Mengzi,661100,China [3]Faculty of Science,Kunming University of Science and Technology,Kunming,650500,China [4]China Southern Power Grid Yuxi Power Supply Bureau,Yuxi,653100,China [5]Yunnan Electric Power Grid Co.,Ltd.,Kunming,650000,China [6]College of Electrical Engineering,Shanghai University of Electric Power,Shanghai,200090,China [7]College of Information Science and Engineering,Northeastern University,Shenyang,110819,China [8]Foshan Graduate School of Innovation,Northeastern University,Foshan,528311,China
出 处:《Energy Engineering》2024年第12期3487-3547,共61页能源工程(英文)
基 金:funding from the National Natural Science Foundation of China(62263014);Yunnan Provincial Basic Research Project(202401AT070344,202301AT070443);Science and Technology Commission of Shanghai Municipality(STCSM)Sailing Program(22YF1414400).
摘 要:In recent years,the large-scale grid connection of various distributed power sources has made the planning and operation of distribution grids increasingly complex.Consequently,a large number of active distribution network reconfiguration techniques have emerged to reduce system losses,improve system safety,and enhance power quality via switching switches to change the system topology while ensuring the radial structure of the network.While scholars have previously reviewed these methods,they all have obvious shortcomings,such as a lack of systematic integration of methods,vague classification,lack of constructive suggestions for future study,etc.Therefore,this paper attempts to provide a comprehensive and profound review of 52 methods and applications of active distribution network reconfiguration through systematic method classification and enumeration.Specifically,these methods are classified into five categories,i.e.,traditional methods,mathematical methods,meta-heuristic algorithms,machine learning methods,and hybrid methods.A thorough comparison of the various methods is also scored in terms of their practicality,complexity,number of switching actions,performance improvement,advantages,and disadvantages.Finally,four summaries and four future research prospects are presented.In summary,this paper aims to provide an up-to-date and well-rounded manual for subsequent researchers and scholars engaged in related fields.
关 键 词:Active distribution network RECONFIGURATION meta-heuristic algorithm machine learning
分 类 号:TM76[电气工程—电力系统及自动化]
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