{"title":"不同控制技术下PV-MPPT并网系统的比较研究","authors":"M. Abouzeid, V. Sood, M. Youssef","doi":"10.1109/EPEC.2015.7379959","DOIUrl":null,"url":null,"abstract":"In this paper, fuzzy logic (FL) and fuzzy neural (FN) networks are introduced and implemented as maximum power point tracking (MPPT) algorithms. Using a case study of a photovoltaic cell with a boost converter, the merits and demerits of these techniques are highlighted against traditional MPPT techniques, namely the Perturb and Observe (P&O) and the Incremental Conductance (IC) techniques. The four methods are simulated using the software package EMTP-RV and their performance is compared under various operating conditions. The results of this comparative study are presented to guide the hardware design in the solar industry as a futuristic approach.","PeriodicalId":231255,"journal":{"name":"2015 IEEE Electrical Power and Energy Conference (EPEC)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A comparative study of a PV-MPPT grid-integrated system under different control techniques\",\"authors\":\"M. Abouzeid, V. Sood, M. Youssef\",\"doi\":\"10.1109/EPEC.2015.7379959\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, fuzzy logic (FL) and fuzzy neural (FN) networks are introduced and implemented as maximum power point tracking (MPPT) algorithms. Using a case study of a photovoltaic cell with a boost converter, the merits and demerits of these techniques are highlighted against traditional MPPT techniques, namely the Perturb and Observe (P&O) and the Incremental Conductance (IC) techniques. The four methods are simulated using the software package EMTP-RV and their performance is compared under various operating conditions. The results of this comparative study are presented to guide the hardware design in the solar industry as a futuristic approach.\",\"PeriodicalId\":231255,\"journal\":{\"name\":\"2015 IEEE Electrical Power and Energy Conference (EPEC)\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE Electrical Power and Energy Conference (EPEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EPEC.2015.7379959\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Electrical Power and Energy Conference (EPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EPEC.2015.7379959","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A comparative study of a PV-MPPT grid-integrated system under different control techniques
In this paper, fuzzy logic (FL) and fuzzy neural (FN) networks are introduced and implemented as maximum power point tracking (MPPT) algorithms. Using a case study of a photovoltaic cell with a boost converter, the merits and demerits of these techniques are highlighted against traditional MPPT techniques, namely the Perturb and Observe (P&O) and the Incremental Conductance (IC) techniques. The four methods are simulated using the software package EMTP-RV and their performance is compared under various operating conditions. The results of this comparative study are presented to guide the hardware design in the solar industry as a futuristic approach.
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