{"title":"Co-simulation strategy of PV hosting capacity applying a stochastic analysis","authors":"Yessica Africano, David F. Celeita, G. Ramos","doi":"10.1109/PEPQA.2017.7981659","DOIUrl":null,"url":null,"abstract":"The aim of this study is to present the implementation of a co-simulation methodology to define the hosting capacity when integrating (photovoltaic panels) PVs into a distribution system. The paper introduces the benefits to using DSSim-PC and Matlab as powerful tools when having certain variables such as forecasting estimation, load profiles and impact of distributed generation. Then, a methodology validation is done with IEEE test feeders systems to understand how the algorithm works and assess the perform of distribution systems with PVs. The results show the feasibility of the proposed methodology to seize reach into larger systems. Voltage profile is one of the most important variables, and that is why analyzing systems based on this indicator could lead to an optimal integration of PVs in existing grids.","PeriodicalId":256426,"journal":{"name":"2017 IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PEPQA.2017.7981659","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
The aim of this study is to present the implementation of a co-simulation methodology to define the hosting capacity when integrating (photovoltaic panels) PVs into a distribution system. The paper introduces the benefits to using DSSim-PC and Matlab as powerful tools when having certain variables such as forecasting estimation, load profiles and impact of distributed generation. Then, a methodology validation is done with IEEE test feeders systems to understand how the algorithm works and assess the perform of distribution systems with PVs. The results show the feasibility of the proposed methodology to seize reach into larger systems. Voltage profile is one of the most important variables, and that is why analyzing systems based on this indicator could lead to an optimal integration of PVs in existing grids.