{"title":"Analyzing multi-microgrid with stochastic uncertainties including optimal PV allocation","authors":"H. Keshtkar, J. Solanki, S. K. Solanki","doi":"10.5220/0005452902410249","DOIUrl":null,"url":null,"abstract":"This paper presents the effects of Photovoltaic (PV) location on losses of the distribution system. The optimal location of PV is determined by using Particle Swarm Optimization (PSO) implemented in MATLAB-OpenDSS environment. IEEE 34-node test feeder is employed to verify the feasibility and effectiveness of the developed method. Once the optimal location is determined the challenge still remains due to the uncertain behavior of the PV system. This effect along with other stochastic behaviors such as the uncertain output power of loads like Plug-in Hybrid Electric Vehicles (PHEVs) due to their stochastic charging and discharging, that of a wind generation unit due to the stochastic wind speed, and that of a solar generating source due to the stochastic illumination intensity, add problems like frequency oscillations in a microgrid. Hence, frequency control of a multi microgrid system is also addressed.","PeriodicalId":408526,"journal":{"name":"2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS)","volume":"228 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0005452902410249","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper presents the effects of Photovoltaic (PV) location on losses of the distribution system. The optimal location of PV is determined by using Particle Swarm Optimization (PSO) implemented in MATLAB-OpenDSS environment. IEEE 34-node test feeder is employed to verify the feasibility and effectiveness of the developed method. Once the optimal location is determined the challenge still remains due to the uncertain behavior of the PV system. This effect along with other stochastic behaviors such as the uncertain output power of loads like Plug-in Hybrid Electric Vehicles (PHEVs) due to their stochastic charging and discharging, that of a wind generation unit due to the stochastic wind speed, and that of a solar generating source due to the stochastic illumination intensity, add problems like frequency oscillations in a microgrid. Hence, frequency control of a multi microgrid system is also addressed.