基于模糊逻辑控制的光伏系统最大功率点跟踪

2014 International Conference on Renewable Energy Research and Application (ICRERA) Pub Date : 2014-10-01 DOI:10.1109/ICRERA.2014.7016515

Y. Soufi, M. Bechouat, S. Kahla, K. Bouallegue

{"title":"基于模糊逻辑控制的光伏系统最大功率点跟踪","authors":"Y. Soufi, M. Bechouat, S. Kahla, K. Bouallegue","doi":"10.1109/ICRERA.2014.7016515","DOIUrl":null,"url":null,"abstract":"In this paper, a fuzzy logic control (FLC) based “Mamdani” is proposed to control the maximum power point tracking (MPPT) for a photovoltaic (PV) system. The proposed technique uses the fuzzy logic control to specify the size of incremental current in the current command of MPPT. As results indicated, the convergence time of maximum power point (MPP) of the proposed algorithm is better than that of the conventional Perturb and Observation (P&O) technique.","PeriodicalId":243870,"journal":{"name":"2014 International Conference on Renewable Energy Research and Application (ICRERA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"46","resultStr":"{\"title\":\"Maximum power point tracking using fuzzy logic control for photovoltaic system\",\"authors\":\"Y. Soufi, M. Bechouat, S. Kahla, K. Bouallegue\",\"doi\":\"10.1109/ICRERA.2014.7016515\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a fuzzy logic control (FLC) based “Mamdani” is proposed to control the maximum power point tracking (MPPT) for a photovoltaic (PV) system. The proposed technique uses the fuzzy logic control to specify the size of incremental current in the current command of MPPT. As results indicated, the convergence time of maximum power point (MPP) of the proposed algorithm is better than that of the conventional Perturb and Observation (P&O) technique.\",\"PeriodicalId\":243870,\"journal\":{\"name\":\"2014 International Conference on Renewable Energy Research and Application (ICRERA)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"46\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Renewable Energy Research and Application (ICRERA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICRERA.2014.7016515\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Renewable Energy Research and Application (ICRERA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRERA.2014.7016515","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 46

摘要

本文提出了一种基于模糊逻辑控制(FLC)的“Mamdani”控制光伏系统的最大功率点跟踪(MPPT)。该技术采用模糊逻辑控制来指定MPPT电流指令中增量电流的大小。结果表明，该算法的最大功率点(MPP)收敛时间优于传统的扰动观测(P&O)算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Maximum power point tracking using fuzzy logic control for photovoltaic system

In this paper, a fuzzy logic control (FLC) based “Mamdani” is proposed to control the maximum power point tracking (MPPT) for a photovoltaic (PV) system. The proposed technique uses the fuzzy logic control to specify the size of incremental current in the current command of MPPT. As results indicated, the convergence time of maximum power point (MPP) of the proposed algorithm is better than that of the conventional Perturb and Observation (P&O) technique.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2014 International Conference on Renewable Energy Research and Application (ICRERA)

自引率

0.00%

发文量