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基于线性整数规划的主动配电网故障区段定位
引用本文:万富康,施展,王占山.基于线性整数规划的主动配电网故障区段定位[J].辽宁石油化工大学学报,2020,40(4):122-129.
作者姓名:万富康  施展  王占山
作者单位:东北大学 信息科学与工程学院,辽宁 沈阳 110819
基金项目:国家自然科学基金项目(61473070、61433004、61627809);流程工业综合自动化基础研究基金项目(2018ZCX22);辽宁省“兴辽英才计划”项目(XLYC1802010)。
摘    要:针对分布式电源渗透率不断升高以及配电网规模日益庞大造成的主动配电网故障定位困难的问题,提出了一种新的故障定位方法。考虑到分布式电源渗透率不断升高的特点,将分布式电源以微电网形式接入到配电网中,建立了考虑微电网运行状态的开关函数,并在此基础上构建了适合故障区段定位的线性整数规划模型。提出了T型分级方法来解决故障定位耗时长的问题,其原理是选择主变电站和T型节点下游的若干首节点作为分界点,使配电网被分成多个区域,最后通过线性整数规划方法依次定位出故障所在区域及故障区段位置。仿真结果表明,所提方法能够快速准确地定位出故障区段,并具有很强的容错性。

关 键 词:主动配电网  微电网  故障区段定位  线性整数规划  T型分级方法
收稿时间:2020-04-23

Fault Section Location for Active Distribution Network Based on Integer Linear Programming
Affiliation:College of Information Science and Engineering, Northeastern University, Shenyang Liaoning 110819, China
Abstract:A new fault location method was proposed to solve the problem of active distribution network fault location caused by the increasing penetration of distributed generation and the increasing scale of distribution network.Considering the characteristics of increasing distribution generations penetration, the distribution generations was connected to the distribution network in the form of a micro?grid. A switching function that took into account the operating status of the micro?grid is established, and a linear integer programming model suitable for fault location was constructed on this basis. A T?type classification method was proposed to solve the problem of long time?consuming fault location. The principle was to select several first nodes downstream of the main substation and the T?type node as the demarcation points, so that the distribution network was divided into multiple regions. Finally, the fault region and fault section were located by linear integer programming. Simulation results show that the proposed method can locate the fault section quickly and accurately, and has strong robustness.
Keywords:Active distribution network  Micro?grid  Fault section location  Integer linear programing  T?type classification method  
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