{"title":"Optimal Allocation of Wind Based DG for Enhancement of Technical, Economic and Social Benefits using Jaya Algorithm for Radial Distribution Networks","authors":"Anirban Chowdhury, R. Roy, K. Mandal","doi":"10.1109/ICCDW45521.2020.9318659","DOIUrl":null,"url":null,"abstract":"The active power losses in a radial distribution network are higher than transmission network due to high R/X ratio. The depletion of fossil fuel-based resources is one of the growing concerns for the network operators. The harmful pollutants from fossil fuels is a major threat to the environment. Thus, in this period of energy crisis, renewable energy resources like PV, wind are very good alternative to meet up energy demand. This paper presents improvement of a constrained multi-objective function based on voltage stability, economy and emission using Jaya Algorithm for wind energy integrated radial distribution network. Wind based distributed generators (DG) are injected at single, double and triple points of standard IEEE 33 bus and 85 bus test systems and the results have been compared with PSO and its different variants.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCDW45521.2020.9318659","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The active power losses in a radial distribution network are higher than transmission network due to high R/X ratio. The depletion of fossil fuel-based resources is one of the growing concerns for the network operators. The harmful pollutants from fossil fuels is a major threat to the environment. Thus, in this period of energy crisis, renewable energy resources like PV, wind are very good alternative to meet up energy demand. This paper presents improvement of a constrained multi-objective function based on voltage stability, economy and emission using Jaya Algorithm for wind energy integrated radial distribution network. Wind based distributed generators (DG) are injected at single, double and triple points of standard IEEE 33 bus and 85 bus test systems and the results have been compared with PSO and its different variants.