{"title":"具有不同智能控制器的普通家用并网光伏发电机","authors":"Sameh Mostafa, A. Zekry, A. Youssef, W. Anis","doi":"10.1109/NRSC52299.2021.9509783","DOIUrl":null,"url":null,"abstract":"This paper introduces a comparative analysis between three different controllers on a 9.2 kW grid-connected system. This system is designed using the Simulink to test the proposed controllers under the practical operating conditions for a household-sized photovoltaic system. The current study compares between three controllers (PI, Fuzzy and Fuzzy-PI) and attempts to choose the optimal controller for improving the performance of the grid-connected inverter control. The study concludes that the Fuzzy-PI controller outperforms the other ones regarding the performance parameters in terms of total harmonic distortion, dynamic response, settling time, and overshoot. This is attributed to the fact that the Fuzzy-PI changes the values of the gains (KI and KP) based on the variations in temperature and irradiance.","PeriodicalId":231431,"journal":{"name":"2021 38th National Radio Science Conference (NRSC)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Average Household Grid Connected PV Generator with Different Intelligent Controllers\",\"authors\":\"Sameh Mostafa, A. Zekry, A. Youssef, W. Anis\",\"doi\":\"10.1109/NRSC52299.2021.9509783\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces a comparative analysis between three different controllers on a 9.2 kW grid-connected system. This system is designed using the Simulink to test the proposed controllers under the practical operating conditions for a household-sized photovoltaic system. The current study compares between three controllers (PI, Fuzzy and Fuzzy-PI) and attempts to choose the optimal controller for improving the performance of the grid-connected inverter control. The study concludes that the Fuzzy-PI controller outperforms the other ones regarding the performance parameters in terms of total harmonic distortion, dynamic response, settling time, and overshoot. This is attributed to the fact that the Fuzzy-PI changes the values of the gains (KI and KP) based on the variations in temperature and irradiance.\",\"PeriodicalId\":231431,\"journal\":{\"name\":\"2021 38th National Radio Science Conference (NRSC)\",\"volume\":\"104 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 38th National Radio Science Conference (NRSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NRSC52299.2021.9509783\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 38th National Radio Science Conference (NRSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NRSC52299.2021.9509783","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Average Household Grid Connected PV Generator with Different Intelligent Controllers
This paper introduces a comparative analysis between three different controllers on a 9.2 kW grid-connected system. This system is designed using the Simulink to test the proposed controllers under the practical operating conditions for a household-sized photovoltaic system. The current study compares between three controllers (PI, Fuzzy and Fuzzy-PI) and attempts to choose the optimal controller for improving the performance of the grid-connected inverter control. The study concludes that the Fuzzy-PI controller outperforms the other ones regarding the performance parameters in terms of total harmonic distortion, dynamic response, settling time, and overshoot. This is attributed to the fact that the Fuzzy-PI changes the values of the gains (KI and KP) based on the variations in temperature and irradiance.