基于交叉熵法优化的最近邻MPPT

2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE) Pub Date : 2018-12-01 DOI:10.1109/ICSEE.2018.8646091

R. Machlev, Y. Levron

{"title":"基于交叉熵法优化的最近邻MPPT","authors":"R. Machlev, Y. Levron","doi":"10.1109/ICSEE.2018.8646091","DOIUrl":null,"url":null,"abstract":"Maximum power point tracking (MPPT) techniques are being used to improve the efficiency of photovoltaic (PV) systems. In this paper, a Nearest Neighbor(NN)-based MPPT with Cross-Entropy (CE) Method optimization algorithm is proposed. The proposed method is system-independent, accurate and easy to implement. the performance of the algorithm is validate in simulation using profile of different irradiances.","PeriodicalId":254455,"journal":{"name":"2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Nearest Neighbor MPPT with Cross-Entropy Method optimization\",\"authors\":\"R. Machlev, Y. Levron\",\"doi\":\"10.1109/ICSEE.2018.8646091\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Maximum power point tracking (MPPT) techniques are being used to improve the efficiency of photovoltaic (PV) systems. In this paper, a Nearest Neighbor(NN)-based MPPT with Cross-Entropy (CE) Method optimization algorithm is proposed. The proposed method is system-independent, accurate and easy to implement. the performance of the algorithm is validate in simulation using profile of different irradiances.\",\"PeriodicalId\":254455,\"journal\":{\"name\":\"2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSEE.2018.8646091\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSEE.2018.8646091","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

最大功率点跟踪(MPPT)技术被用于提高光伏发电系统的效率。提出了一种基于交叉熵方法的最近邻优化算法。该方法与系统无关，精度高，易于实现。利用不同辐照度的轮廓进行了仿真，验证了算法的性能。

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

Nearest Neighbor MPPT with Cross-Entropy Method optimization

Maximum power point tracking (MPPT) techniques are being used to improve the efficiency of photovoltaic (PV) systems. In this paper, a Nearest Neighbor(NN)-based MPPT with Cross-Entropy (CE) Method optimization algorithm is proposed. The proposed method is system-independent, accurate and easy to implement. the performance of the algorithm is validate in simulation using profile of different irradiances.

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

2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE)

自引率

0.00%

发文量