{"title":"Effects of Communication Network Topology on Distributed Optimal Power Flow for Radial Distribution Networks","authors":"Nathan Gray, R. Sadnan, A. Bose, A. Dubey","doi":"10.1109/NAPS52732.2021.9654692","DOIUrl":null,"url":null,"abstract":"Distribution systems, which have a high number of distributed energy resources (DERs) and in particular, systems composed of multiple connected microgrids may be capable of greater resiliency than traditional systems. However, increased resiliency also requires these microgrids to collaborate intelligently. Collaborative actions among microgrids requires algorithms to operate the network optimally. These algorithms require reliable communication networks to operate. The nature of the communication network plays an indispensable role for feasible operation of the power system and collaboration among microgrids. In this paper, we employ a fast distributed optimal power flow (D-OPF) algorithm with different communication network topology to demonstrate the impact of communication network and properties on collaborative microgids to attain optimal operations of the power distribution grids. This paper provides insight on how cyber complexity impacts the D-OPF method and the power system it controls. The simulation is done on three-phase unbalanced IEEE 123 bus test system.","PeriodicalId":123077,"journal":{"name":"2021 North American Power Symposium (NAPS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 North American Power Symposium (NAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAPS52732.2021.9654692","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Distribution systems, which have a high number of distributed energy resources (DERs) and in particular, systems composed of multiple connected microgrids may be capable of greater resiliency than traditional systems. However, increased resiliency also requires these microgrids to collaborate intelligently. Collaborative actions among microgrids requires algorithms to operate the network optimally. These algorithms require reliable communication networks to operate. The nature of the communication network plays an indispensable role for feasible operation of the power system and collaboration among microgrids. In this paper, we employ a fast distributed optimal power flow (D-OPF) algorithm with different communication network topology to demonstrate the impact of communication network and properties on collaborative microgids to attain optimal operations of the power distribution grids. This paper provides insight on how cyber complexity impacts the D-OPF method and the power system it controls. The simulation is done on three-phase unbalanced IEEE 123 bus test system.