基于无向图的含分布式电源配电网优化重构研究
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  • 英文篇名:Study on optimization reconfiguration for distribution network with distributed generation based on undirected graph
  • 作者:洪海峰 ; 胡哲晟 ; 朱凌 ; 徐大勇 ; 李晓波 ; 郭瑞鹏
  • 英文作者:HONG Hai-feng;HU Zhe-sheng;ZHU Ling;School of Electrical Engineering,Zhejiang University;Power Economic Research Institute,State Grid Zhejiang Electric Power Company;China Southern Power Grid Huizhou Power Supply Company;
  • 关键词:分布式电源 ; 配电网 ; 优化重构 ; 无向图 ; 虚拟需求
  • 英文关键词:distributed generation;;distribution network;;optimization reconfiguration;;undirected graph;;virtual demand
  • 中文刊名:NYGC
  • 英文刊名:Energy Engineering
  • 机构:浙江大学电气工程学院;国网浙江省电力公司经济技术研究院;南网惠州供电局;杭州沃瑞电力科技有限公司;
  • 出版日期:2018-02-20
  • 出版单位:能源工程
  • 年:2018
  • 期:No.192
  • 基金:南方电网科技项目(031300KK52160028)
  • 语种:中文;
  • 页:NYGC201801006
  • 页数:5
  • CN:01
  • ISSN:33-1113/TK
  • 分类号:29-32+46
摘要
针对配电网"闭环设计、开环运行"的结构特点,采用无向图描述配电网的辐射状结构约束。含分布式电源配电网优化重构前后节点的带电状态不变,定义了"虚拟需求"的概念来保证带电节点与某一变电站电源节点的连通性,再加上闭合支路数等于节点总数减变电站电源节点数的数量关系约束,即保证了配电网呈辐射状结构。建立了以降低有功功率损耗为目标的配电网优化重构模型,采用数学规划方法进行求解,PG&E 69节点配电系统的测试结果验证了该模型的有效性。
        Considering the‘closed-loop design and open-loop operation'structural characteristic of the distribution network,undirected graph was used to describe its radial structure constraint.For the optimization reconfiguration of distribution network with distributed generation,the charge states of nodes should be consistent before and after reconfiguration.Thus,the virtual demand was defined to ensure that charged nodes were connected to a certain substation power source node.Coupled with the quantitative relation constraint,namely,the number of closed branches equaled the total number of nodes minus the number of source nodes of substation power; and the radial structure of distribution network could be ensured.The mathematical model for optimization reconfiguration was established with the aim of active power loss reduction and was solved through mathematical programming method.Test results of PG&E 69-bus distribution system verified the effectivity of this model.
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