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作 者:Junhui Li Yuqing Zhang Can Chen Xiaoxiao Wang Yinchi Shao Xingxu Zhu Cuiping Li
机构地区:[1]Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology,Ministry of Education(Northeast Electric Power University),Jilin,132012,China [2]State Grid Jibei Electric Power Co.,Ltd.,Electric Power Research Institute,Beijing,100045,China
出 处:《Energy Engineering》2024年第9期2389-2408,共20页能源工程(英文)
基 金:supported by North China Electric Power Research Institute’s Self-Funded Science and Technology Project“Research on Distributed Energy Storage Optimal Configuration and Operation Control Technology for Photovoltaic Promotion in the Entire County”(KJZ2022049).
摘 要:Aiming at the consumption problems caused by the high proportion of renewable energy being connected to the distribution network,it also aims to improve the power supply reliability of the power system and reduce the operating costs of the power system.This paper proposes a two-stage planning method for distributed generation and energy storage systems that considers the hierarchical partitioning of source-storage-load.Firstly,an electrical distance structural index that comprehensively considers active power output and reactive power output is proposed to divide the distributed generation voltage regulation domain and determine the access location and number of distributed power sources.Secondly,a two-stage planning is carried out based on the zoning results.In the phase 1 distribution network-zoning optimization layer,the network loss is minimized so that the node voltage in the area does not exceed the limit,and the distributed generation configuration results are initially determined;in phase 2,the partition-node optimization layer is planned with the goal of economic optimization,and the distance-based improved ant lion algorithm is used to solve the problem to obtain the optimal distributed generation and energy storage systemconfiguration.Finally,the IEEE33 node systemwas used for simulation.The results showed that the voltage quality was significantly improved after optimization,and the overall revenue increased by about 20.6%,verifying the effectiveness of the two-stage planning.
关 键 词:Zoning control two-stage planning site selection and capacity determination optimized scheduling improved ant lion algorithm
分 类 号:TM73[电气工程—电力系统及自动化] TK02[动力工程及工程热物理]
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