{"title":"Dynamic Reconfiguration and Fault Isolation for a Self-Healing Distribution System","authors":"Anmar I. Arif, Shanshan Ma, Zhaoyu Wang","doi":"10.1109/TDC.2018.8440481","DOIUrl":null,"url":null,"abstract":"This paper proposes a new mathematical model for network reconfiguration and fault isolation in a self-healing distribution network. The proposed model dynamically operates automatic switches in the distribution network. The model includes a new approach to ensure network radiality by combining spanning tree constraints with a virtual network framework. Multiple faults and their associated clearance and recovery are taken into account. The mathematical model is formulated as a mixed integer linear program (MILP) that can be efficiently solved using commercial solvers such as CPLEX. The model is tested on a modified IEEE 123-bus distribution system with automatic switches, distributed generators (DGs) and energy storage system (ESS).","PeriodicalId":6568,"journal":{"name":"2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"1 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TDC.2018.8440481","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
This paper proposes a new mathematical model for network reconfiguration and fault isolation in a self-healing distribution network. The proposed model dynamically operates automatic switches in the distribution network. The model includes a new approach to ensure network radiality by combining spanning tree constraints with a virtual network framework. Multiple faults and their associated clearance and recovery are taken into account. The mathematical model is formulated as a mixed integer linear program (MILP) that can be efficiently solved using commercial solvers such as CPLEX. The model is tested on a modified IEEE 123-bus distribution system with automatic switches, distributed generators (DGs) and energy storage system (ESS).