An intelligent reconfiguration approach based on fuzzy partitioning in PV arrays

2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings Pub Date : 2014-06-23 DOI:10.1109/INISTA.2014.6873644

Mehmet Karaköse, M. Baygin, Nursena Baygin, Kagan Murat, E. Akin

{"title":"An intelligent reconfiguration approach based on fuzzy partitioning in PV arrays","authors":"Mehmet Karaköse, M. Baygin, Nursena Baygin, Kagan Murat, E. Akin","doi":"10.1109/INISTA.2014.6873644","DOIUrl":null,"url":null,"abstract":"The reconfiguration process in photovoltaic (PV) arrays is very important to obtain maximum power under partial shading conditions. Connection architecture of array for this process is changed according to status of non-uniform shadows. However, finding of best connection in big PV arrays is hard in real-time. In this paper, a new efficient and intelligent reconfiguration approach based on partitioning of array is proposed. The proposed approach is aimed to search best connection from possible connections in several small-sized array partitions obtained with decomposing according to location of shadows to carry out control task. Thus, search space of possible connections is considerably reduced for using in real time implementation of reconfiguration process in big size PV arrays. Efficiency, accuracy, and performance proposed reconfiguration approach has been verified for different size and shading conditions with comparative simulation results.","PeriodicalId":339652,"journal":{"name":"2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INISTA.2014.6873644","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 16

Abstract

The reconfiguration process in photovoltaic (PV) arrays is very important to obtain maximum power under partial shading conditions. Connection architecture of array for this process is changed according to status of non-uniform shadows. However, finding of best connection in big PV arrays is hard in real-time. In this paper, a new efficient and intelligent reconfiguration approach based on partitioning of array is proposed. The proposed approach is aimed to search best connection from possible connections in several small-sized array partitions obtained with decomposing according to location of shadows to carry out control task. Thus, search space of possible connections is considerably reduced for using in real time implementation of reconfiguration process in big size PV arrays. Efficiency, accuracy, and performance proposed reconfiguration approach has been verified for different size and shading conditions with comparative simulation results.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

基于模糊划分的光伏阵列智能重构方法

光伏阵列的重构过程对于在部分遮阳条件下获得最大功率非常重要。根据阴影不均匀的情况，改变该过程中阵列的连接结构。然而，在大型光伏阵列中实时寻找最佳连接是很困难的。本文提出了一种基于阵列划分的高效智能重构方法。该方法的目的是根据阴影的位置，从分解得到的几个小阵列分区的可能连接中搜索最佳连接，以执行控制任务。从而大大减少了可能连接的搜索空间，可用于大尺寸光伏阵列重构过程的实时实现。通过对比仿真结果验证了该重构方法在不同尺寸和遮阳条件下的效率、准确性和性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings

自引率

0.00%

发文量