Abhishek Sharma, R. Pachauri, Abhinav Sharma, N. Raj
{"title":"利用鸡群优化技术提取太阳能光伏组件参数","authors":"Abhishek Sharma, R. Pachauri, Abhinav Sharma, N. Raj","doi":"10.1109/WITCONECE48374.2019.9092938","DOIUrl":null,"url":null,"abstract":"Solar PV array parameter extraction is an active area of research in the field of renewable energy. In this article a new metaheuristic approach, chicken swarm optimization (CSO) is explored for solar PV array parameter extraction. Five parameters of the solar PV module have been extracted in MATLAB software using chicken swarm optimization and the results are compared with culture algorithm (CA). The simulation results show that CSO algorithm is a robust algorithm and outperforms culture algorithm in terms of RMSE.","PeriodicalId":350816,"journal":{"name":"2019 Women Institute of Technology Conference on Electrical and Computer Engineering (WITCON ECE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Extraction of the solar PV module parameters using chicken swarm optimization technique\",\"authors\":\"Abhishek Sharma, R. Pachauri, Abhinav Sharma, N. Raj\",\"doi\":\"10.1109/WITCONECE48374.2019.9092938\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Solar PV array parameter extraction is an active area of research in the field of renewable energy. In this article a new metaheuristic approach, chicken swarm optimization (CSO) is explored for solar PV array parameter extraction. Five parameters of the solar PV module have been extracted in MATLAB software using chicken swarm optimization and the results are compared with culture algorithm (CA). The simulation results show that CSO algorithm is a robust algorithm and outperforms culture algorithm in terms of RMSE.\",\"PeriodicalId\":350816,\"journal\":{\"name\":\"2019 Women Institute of Technology Conference on Electrical and Computer Engineering (WITCON ECE)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Women Institute of Technology Conference on Electrical and Computer Engineering (WITCON ECE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WITCONECE48374.2019.9092938\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Women Institute of Technology Conference on Electrical and Computer Engineering (WITCON ECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WITCONECE48374.2019.9092938","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Extraction of the solar PV module parameters using chicken swarm optimization technique
Solar PV array parameter extraction is an active area of research in the field of renewable energy. In this article a new metaheuristic approach, chicken swarm optimization (CSO) is explored for solar PV array parameter extraction. Five parameters of the solar PV module have been extracted in MATLAB software using chicken swarm optimization and the results are compared with culture algorithm (CA). The simulation results show that CSO algorithm is a robust algorithm and outperforms culture algorithm in terms of RMSE.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
