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多类型微电网接入的配电网两阶段规划方法 被引量:12

Two-stage Planning Method for Distribution Network with Multi-type Microgrids
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摘要 针对配电网中接入多个不同类型微电网的场景,提出一种基于改进遗传算法的多类型微电网接入的配电网两阶段规划方法,阶段一为变电站选址规划,阶段二为配电网网架规划。首先,建立了不同分布式电源组成的微电网等效出力模型,得到微电网全年最大负荷,进而建立了满足配电网负荷和微电网净负荷最大要求的多微电网接入的配电网变电站规划模型,通过加入交替定位分配算子的改进遗传算法进行求解。然后,建立了考虑经济性和可靠性的多微电网接入的配电网网架规划模型,采用改进遗传算法求解。最后,以含4个不同类型微电网的配电网为算例进行仿真,仿真结果验证了所提多类型微电网接入的配电网两阶段规划方法的有效性。 For the distribution network with multi-type microgrids, this paper presents a kind of two-stage planning method based on the improved genetic algorithm of which the first stage is substation location planning and the second stage is network planning. The paper firstly establishes an equivalent output model for the microgrid with different distributed generations and obtains yearly maximum load of the microgrid, and then it builds the substation planning model with multi-type microgrids meeting the demand of maximum load of distribution network and maximum net load of the microgrid. By using the improved genetic algorithm with alternate positioning assignment operators, it solves the planning model. Meanwhile, it uses the improved genetic algorithm to solve the network planning model for the distribution network with multi-type microgrids considering economy and reliability. Finally, taking the distribution network containing four kinds of microgrids for example, it makes simulation and verifies effectiveness of the proposed two-stage planning method.
作者 赫卫国 华光辉 余晓燕 翟晶晶 张小莲 郝思鹏 HE Weiguo;HUA Guanghui;YU Xiaoyan;ZHAI Jingjing;ZHANG Xiaolian;HAO Sipeng(China Electric Power Research Institute, Nanjing, Jiangsu 210003, China;State Grid Xinyuan Hydropower Co., Ltd., Xin’anjiang Hydropower Plant, Jiande, Zhejiang, 311608, China;School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing, Jiangsu 211167, China)
出处 《广东电力》 2019年第5期36-42,共7页 Guangdong Electric Power
基金 国家电网有限公司科技项目(NY71-16-024)
关键词 配电网 微电网 改进遗传算法 变电站规划 网架规划 distribution network microgrid improved genetic algorithm substation planning network planning
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