{"title":"基于PSO- PID的光伏系统最大功率点跟踪","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":"{\"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}","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}
Intelligent PSO- PID Controller Based Maximum Power Point Tracking (MPPT) for Photovoltaic System
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.