{"title":"Intelligent PSO- PID Controller Based Maximum Power Point Tracking (MPPT) for Photovoltaic System","authors":"I. M. M. Eltigani, U. Nangia","doi":"10.1109/PECCON55017.2022.9851173","DOIUrl":null,"url":null,"abstract":"In this paperwork, application of the PSO based Proportional, Integral, and Derivative controller (PID Controller) for tracking maximum power point associated with DC-DC boost converter for Photovoltaic System (PV) is discussed. An intelligent PSO-PID controller has been proposed to achieve optimal performance in tracking PV power. To get the amount for parameters of PID controller gain a particle swarm optimization algorithm (PSO) has been used in dynamic conditions. In the case of low errors, the hyperbolic cosine non-linear method has been utilized to considerably reduce the system's settling time and control proportional gain. The results show that the proposed controller has a lower settling time, low power loss, and fast response time compared with PSO techniques, which enhance the efficiency and dynamic performance of the photovoltaic system.","PeriodicalId":129147,"journal":{"name":"2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PECCON55017.2022.9851173","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
In this paperwork, application of the PSO based Proportional, Integral, and Derivative controller (PID Controller) for tracking maximum power point associated with DC-DC boost converter for Photovoltaic System (PV) is discussed. An intelligent PSO-PID controller has been proposed to achieve optimal performance in tracking PV power. To get the amount for parameters of PID controller gain a particle swarm optimization algorithm (PSO) has been used in dynamic conditions. In the case of low errors, the hyperbolic cosine non-linear method has been utilized to considerably reduce the system's settling time and control proportional gain. The results show that the proposed controller has a lower settling time, low power loss, and fast response time compared with PSO techniques, which enhance the efficiency and dynamic performance of the photovoltaic system.