{"title":"Adaptive step vector-based dragonfly optimization: a new deed for localizing and sizing D-STATCOM in distribution system","authors":"V. Tejaswini, D. Susitra","doi":"10.1080/1448837X.2022.2100545","DOIUrl":null,"url":null,"abstract":"ABSTRACT In power systems, parameters such as outage of components and continual load growth may pave the way to problems like dynamic and static inconsistencies like adequacy and security consequences of disturbances. For dealing with such predicaments, deployment of Custom Power Devices is the major widely adopted approach. Anyhow, these devices must be positioned in an optimal location with setting for extracting the most possible benefits. Hence, this paper introduces an Adaptive Step vector based Dragonfly Optimisation (ASDA) to solve the location and sizing issues of D-STATCOM focusing on reactive power compensation. Moreover, the solutions are encoded with two bound constraints to deal with both the localising and sizing issues like minimisation of power loss and Voltage Stability Index (VSI).","PeriodicalId":34935,"journal":{"name":"Australian Journal of Electrical and Electronics Engineering","volume":"22 1","pages":"13 - 26"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Australian Journal of Electrical and Electronics Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/1448837X.2022.2100545","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
ABSTRACT In power systems, parameters such as outage of components and continual load growth may pave the way to problems like dynamic and static inconsistencies like adequacy and security consequences of disturbances. For dealing with such predicaments, deployment of Custom Power Devices is the major widely adopted approach. Anyhow, these devices must be positioned in an optimal location with setting for extracting the most possible benefits. Hence, this paper introduces an Adaptive Step vector based Dragonfly Optimisation (ASDA) to solve the location and sizing issues of D-STATCOM focusing on reactive power compensation. Moreover, the solutions are encoded with two bound constraints to deal with both the localising and sizing issues like minimisation of power loss and Voltage Stability Index (VSI).