S. Ahmadi, H. Bevrani, Shoresh Shokoohi, Elham Hasanii
{"title":"An improved droop control for simultaneous voltage and frequency regulation in an AC microgrid using fuzzy logic","authors":"S. Ahmadi, H. Bevrani, Shoresh Shokoohi, Elham Hasanii","doi":"10.1109/IRANIANCEE.2015.7146455","DOIUrl":null,"url":null,"abstract":"Voltage and frequency of microgrids (MGs) are strongly impressionable from the active and reactive load fluctuations. There are several voltage source inverters (VSIs) interfaced distributed generations (DGs) by specific local droop characteristics in a MG. Change in load of a MG may lead to imbalance between generation and consumption and it will change the output voltage and frequency of the VSIs according to the droop characteristics. If the load change is adequately large, the DGs may be unable to stabilize the MG. In the present paper, fuzzy logic is used to optimally tune the coefficients of droop control based frequency and voltage regulation in an AC microgrids.","PeriodicalId":187121,"journal":{"name":"2015 23rd Iranian Conference on Electrical Engineering","volume":"49 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 23rd Iranian Conference on Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRANIANCEE.2015.7146455","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
Voltage and frequency of microgrids (MGs) are strongly impressionable from the active and reactive load fluctuations. There are several voltage source inverters (VSIs) interfaced distributed generations (DGs) by specific local droop characteristics in a MG. Change in load of a MG may lead to imbalance between generation and consumption and it will change the output voltage and frequency of the VSIs according to the droop characteristics. If the load change is adequately large, the DGs may be unable to stabilize the MG. In the present paper, fuzzy logic is used to optimally tune the coefficients of droop control based frequency and voltage regulation in an AC microgrids.