Design and analysis of Multi-stage TDF/(1+TI) controller for Load-frequency control of A.C Multi-Islanded Microgrid system using Modified Sine cosine algorithm
D. Mishra, P. C. Nayak, Sushil Kumar Bhoi, R. Prusty
{"title":"Design and analysis of Multi-stage TDF/(1+TI) controller for Load-frequency control of A.C Multi-Islanded Microgrid system using Modified Sine cosine algorithm","authors":"D. Mishra, P. C. Nayak, Sushil Kumar Bhoi, R. Prusty","doi":"10.1109/ODICON50556.2021.9428969","DOIUrl":null,"url":null,"abstract":"This research work presenting an innovative approach to design AC off-grid Multi Microgrid system and proposing an analytical aspect of load frequency control using the Modified sine cosine algorithm based Multi-stage tilt TDF/(1+TI) controller. A Multi Micro-Grid system unites distinctive advantages identical to RES (Renewable energy sources), photovoltaic system model, wind turbine model, etc. The asymmetrical property of RES causes a contradiction between the load ultimatum and the source of the Multi Microgrid system. This asymmetrical property of renewable energy sources affects the system frequency adversely. So, nowadays there is a major challenge to stabilize the frequency oscillations in a Multi Microgrid system. Despite all these complications, this paper proposes an approach to stabilize the system frequency by a Modified sine cosine algorithm (MSCA) tuned Multi-stage tilt TDF/(1+TI) controller. To enhance the modern power system capability to meet the recent nonlinear load demand, Microgrid plays an important component to fulfill the critical loading effectively. To establish the efficacy of the proposed Multi-stage tilt TDF/(1+TI) controller, it has been analyzed by the dynamic responses of the classical PI & PID controller. The effectiveness of the MCSA has been validated by the comparative analysis of responses over the most popular responses obtained by the GA & PSO method.","PeriodicalId":197132,"journal":{"name":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ODICON50556.2021.9428969","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This research work presenting an innovative approach to design AC off-grid Multi Microgrid system and proposing an analytical aspect of load frequency control using the Modified sine cosine algorithm based Multi-stage tilt TDF/(1+TI) controller. A Multi Micro-Grid system unites distinctive advantages identical to RES (Renewable energy sources), photovoltaic system model, wind turbine model, etc. The asymmetrical property of RES causes a contradiction between the load ultimatum and the source of the Multi Microgrid system. This asymmetrical property of renewable energy sources affects the system frequency adversely. So, nowadays there is a major challenge to stabilize the frequency oscillations in a Multi Microgrid system. Despite all these complications, this paper proposes an approach to stabilize the system frequency by a Modified sine cosine algorithm (MSCA) tuned Multi-stage tilt TDF/(1+TI) controller. To enhance the modern power system capability to meet the recent nonlinear load demand, Microgrid plays an important component to fulfill the critical loading effectively. To establish the efficacy of the proposed Multi-stage tilt TDF/(1+TI) controller, it has been analyzed by the dynamic responses of the classical PI & PID controller. The effectiveness of the MCSA has been validated by the comparative analysis of responses over the most popular responses obtained by the GA & PSO method.