Ashirbad Behera, Sonalika Mishra, P. C. Nayak, R. Prusty, B. K. Sahu
{"title":"基于TLBO的FOPID和ESS器件的微电网系统协调频率调节","authors":"Ashirbad Behera, Sonalika Mishra, P. C. Nayak, R. Prusty, B. K. Sahu","doi":"10.1109/APSIT58554.2023.10201724","DOIUrl":null,"url":null,"abstract":"This study introduces Teaching Learning Based Optimization (TLBO) technique based fractional order PID controller (FOPID) for frequency regulation of multi microgrid system (MMG). Under this study, the MMG system comprises renewable energy sources (RES) such as photo-voltaic generators, wind generators and diesel power generators coordinated with different energy storage systems such as battery energy storage (BESS), flywheel energy storage (FESS), Redox flow battery (RFB)and Ultracapacitor (UC). For optimal design of the FOPID controller parameter, the TLBO technique is used. The efficacy of the proposed techniques is justified over the Dragonfly algorithm (DA) and Particle Swarm Optimization (PSO) algorithm. The projected FOPID controller is studied over PID & I controller. The response of different coordinated structures such as FOPID with BESS, FOPID with FESS, FOPID with US & FOPID with RFB is also analysed.","PeriodicalId":170044,"journal":{"name":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Coordinated frequency regulation of microgrid system using TLBO based FOPID and ESS devices\",\"authors\":\"Ashirbad Behera, Sonalika Mishra, P. C. Nayak, R. Prusty, B. K. Sahu\",\"doi\":\"10.1109/APSIT58554.2023.10201724\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study introduces Teaching Learning Based Optimization (TLBO) technique based fractional order PID controller (FOPID) for frequency regulation of multi microgrid system (MMG). Under this study, the MMG system comprises renewable energy sources (RES) such as photo-voltaic generators, wind generators and diesel power generators coordinated with different energy storage systems such as battery energy storage (BESS), flywheel energy storage (FESS), Redox flow battery (RFB)and Ultracapacitor (UC). For optimal design of the FOPID controller parameter, the TLBO technique is used. The efficacy of the proposed techniques is justified over the Dragonfly algorithm (DA) and Particle Swarm Optimization (PSO) algorithm. The projected FOPID controller is studied over PID & I controller. The response of different coordinated structures such as FOPID with BESS, FOPID with FESS, FOPID with US & FOPID with RFB is also analysed.\",\"PeriodicalId\":170044,\"journal\":{\"name\":\"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)\",\"volume\":\"69 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APSIT58554.2023.10201724\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSIT58554.2023.10201724","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Coordinated frequency regulation of microgrid system using TLBO based FOPID and ESS devices
This study introduces Teaching Learning Based Optimization (TLBO) technique based fractional order PID controller (FOPID) for frequency regulation of multi microgrid system (MMG). Under this study, the MMG system comprises renewable energy sources (RES) such as photo-voltaic generators, wind generators and diesel power generators coordinated with different energy storage systems such as battery energy storage (BESS), flywheel energy storage (FESS), Redox flow battery (RFB)and Ultracapacitor (UC). For optimal design of the FOPID controller parameter, the TLBO technique is used. The efficacy of the proposed techniques is justified over the Dragonfly algorithm (DA) and Particle Swarm Optimization (PSO) algorithm. The projected FOPID controller is studied over PID & I controller. The response of different coordinated structures such as FOPID with BESS, FOPID with FESS, FOPID with US & FOPID with RFB is also analysed.