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文章摘要
基于最优匹配回路功率的配电网拓扑辨识方法
A topology identification method of distribution network based on optimal matching loop power
Received:August 16, 2018  Revised:August 16, 2018
DOI:
中文关键词: 拓扑关系  配电网  状态估计  匹配度
英文关键词: topological relationship  distribution network  state estimation  matching
基金项目:
Author NameAffiliationE-mail
Luo Qun Electric Power Research Institute,State Grid Tianjin Electric Power Company luoqungood@qq.com 
Liu Chunyu Electric Power Research Institute,State Grid Tianjin Electric Power Company liuchuanyu@tj.sgcc.com.cn 
Gu Qiang Electric Power Research Institute,State Grid Tianjin Electric Power Company guqiang@tj.sgcc.com.cn 
Zhang Zhilong Electric Power Research Institute,State Grid Tianjin Electric Power Company zhangzhilong@tj.sgcc.com.cn 
Liu Liping Electric Power Research Institute,State Grid Tianjin Electric Power Company liuliping@tj.sgcc.com.cn 
Ge Leijiao* School of Electrical Information and Engineering,Tianjin University legendglj99@163.com 
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中文摘要:
      配电网的拓扑结构在日常检修、异动和扩建过程中经常发生变化,加之配电网中实时量测数据和配置的传感器数量有限,开关缺乏实时遥测,这导致拓扑生成器常常不能有效获得配电网拓扑结构。目前常见的拓扑辨识方法并不能很好的适应配电网以上特点,因此为避免因配电网拓扑结构发生严重错误引起的配电网状态估计失真,提出了一种新的拓扑辨识方法。该方法基于匹配环路功率确定可能的拓扑结构,并根据公共量测值对可能的拓扑结构进行状态估计。依据状态评估结果与量测数值有最高匹配度,从而确定该拓扑结构为可信拓扑结构,即为实际拓结构。本文所提出的方法实现了对拓扑结构的量化评估,简化了拓扑辨识过程,减少了拓扑辨识过程的计算量,并通过相关案例验证了该方法的有效性和实用性。
英文摘要:
      The topology of the distribution network often changes during routine maintenance, change and expansion. In addition, the real-time measurement data of the distribution network and the number of configured sensors are limited, and the switch lacks real-time telemetry, which causes the topology generator to not effectively obtain the distribution network topology structure. At present, the common topology identification methods are not well adapted to the above characteristics of the distribution network. Therefore, in order to avoid the state estimation distortion of the distribution network caused by serious faults in the distribution network topology, a new topology identification method is proposed. The method determines the possible topologies based on the matching loop power and performs state estimation on the possible topologies based on the common measured values. The topology with the highest matching degree between the state evaluation result and the measured value is a trusted topology, and the topology is the actual topology. The proposed method realizes the quantitative evaluation of the topology, simplifies the topology identification process, reduces the computational complexity of the topology recognition process, and proves the effectiveness and practicability of the method through related case calculations.
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