{"title":"基于Grasshopper优化算法优化模糊PID控制器的多区域互联微电网负荷频率控制","authors":"D. Lal, Ajit Kumar Barisal, M. Tripathy","doi":"10.1109/RAETCS.2018.8443847","DOIUrl":null,"url":null,"abstract":"This article presents load frequency control of multi area interconnected microgrid power system. A Fuzzy proportional-integral-derivative (Fuzzy PID) controller is proposed as frequency controller for the system. The present work involves bio-inspired grasshopper optimization algorithm (GOA) for tuning of controller gains. The attainment of proposed Fuzzy PID controller is accounted with that of proportional- integral–derivative (PID) controller. The comparison of system performance is also carried out with and without energy storage system in microgrids. The system performance is also studied with system parameters change and random step load perturbations (SLPs).","PeriodicalId":131311,"journal":{"name":"2018 Recent Advances on Engineering, Technology and Computational Sciences (RAETCS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"36","resultStr":"{\"title\":\"Load Frequency Control of Multi Area Interconnected Microgrid Power System using Grasshopper Optimization Algorithm Optimized Fuzzy PID Controller\",\"authors\":\"D. Lal, Ajit Kumar Barisal, M. Tripathy\",\"doi\":\"10.1109/RAETCS.2018.8443847\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents load frequency control of multi area interconnected microgrid power system. A Fuzzy proportional-integral-derivative (Fuzzy PID) controller is proposed as frequency controller for the system. The present work involves bio-inspired grasshopper optimization algorithm (GOA) for tuning of controller gains. The attainment of proposed Fuzzy PID controller is accounted with that of proportional- integral–derivative (PID) controller. The comparison of system performance is also carried out with and without energy storage system in microgrids. The system performance is also studied with system parameters change and random step load perturbations (SLPs).\",\"PeriodicalId\":131311,\"journal\":{\"name\":\"2018 Recent Advances on Engineering, Technology and Computational Sciences (RAETCS)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"36\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Recent Advances on Engineering, Technology and Computational Sciences (RAETCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAETCS.2018.8443847\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Recent Advances on Engineering, Technology and Computational Sciences (RAETCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAETCS.2018.8443847","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Load Frequency Control of Multi Area Interconnected Microgrid Power System using Grasshopper Optimization Algorithm Optimized Fuzzy PID Controller
This article presents load frequency control of multi area interconnected microgrid power system. A Fuzzy proportional-integral-derivative (Fuzzy PID) controller is proposed as frequency controller for the system. The present work involves bio-inspired grasshopper optimization algorithm (GOA) for tuning of controller gains. The attainment of proposed Fuzzy PID controller is accounted with that of proportional- integral–derivative (PID) controller. The comparison of system performance is also carried out with and without energy storage system in microgrids. The system performance is also studied with system parameters change and random step load perturbations (SLPs).