{"title":"基于遗传算法的孤岛直流微电网电压调节和均分的最优下垂控制方法","authors":"A. Basati, M. Menhaj, A. Fakharian","doi":"10.1109/PQ.2016.7724104","DOIUrl":null,"url":null,"abstract":"This paper presents an equal power sharing control approach, between Distributed Generations (DGs) in islanded DC Microgrids. An optimal droop control approach for DC/DC Boost power converter is designed based on Genetic Algorithm (GA). This approach helps us to minimize the cost function in order to improve voltage regulation while the power loss is low as much as possible. The proposed method only requires local output information; hence the advantages of traditional droop control are preserved. The performance of the proposed optimal droop method is compared with that of the traditional droop method and its out performance is further verified by simulation in MATLAB/ SimPowerSystems Software. This approach is better than the traditional droop control in bus voltage regulation and equal power sharing, under load changing between minimum and maximum load values. Another advantage of this approach is its lower dependence on the mathematical model of the network.","PeriodicalId":6470,"journal":{"name":"2016 Electric Power Quality and Supply Reliability (PQ)","volume":"1 1","pages":"145-150"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"GA-based optimal droop control approach to improve voltage regulation and equal power sharing for islanded DC microgrids\",\"authors\":\"A. Basati, M. Menhaj, A. Fakharian\",\"doi\":\"10.1109/PQ.2016.7724104\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an equal power sharing control approach, between Distributed Generations (DGs) in islanded DC Microgrids. An optimal droop control approach for DC/DC Boost power converter is designed based on Genetic Algorithm (GA). This approach helps us to minimize the cost function in order to improve voltage regulation while the power loss is low as much as possible. The proposed method only requires local output information; hence the advantages of traditional droop control are preserved. The performance of the proposed optimal droop method is compared with that of the traditional droop method and its out performance is further verified by simulation in MATLAB/ SimPowerSystems Software. This approach is better than the traditional droop control in bus voltage regulation and equal power sharing, under load changing between minimum and maximum load values. Another advantage of this approach is its lower dependence on the mathematical model of the network.\",\"PeriodicalId\":6470,\"journal\":{\"name\":\"2016 Electric Power Quality and Supply Reliability (PQ)\",\"volume\":\"1 1\",\"pages\":\"145-150\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Electric Power Quality and Supply Reliability (PQ)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PQ.2016.7724104\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Electric Power Quality and Supply Reliability (PQ)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PQ.2016.7724104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
GA-based optimal droop control approach to improve voltage regulation and equal power sharing for islanded DC microgrids
This paper presents an equal power sharing control approach, between Distributed Generations (DGs) in islanded DC Microgrids. An optimal droop control approach for DC/DC Boost power converter is designed based on Genetic Algorithm (GA). This approach helps us to minimize the cost function in order to improve voltage regulation while the power loss is low as much as possible. The proposed method only requires local output information; hence the advantages of traditional droop control are preserved. The performance of the proposed optimal droop method is compared with that of the traditional droop method and its out performance is further verified by simulation in MATLAB/ SimPowerSystems Software. This approach is better than the traditional droop control in bus voltage regulation and equal power sharing, under load changing between minimum and maximum load values. Another advantage of this approach is its lower dependence on the mathematical model of the network.