Kiavash Hossein Sadeghi, A. Razminia, E. Roshandel
{"title":"太阳能电站系统辨识的迭代与递归算法比较","authors":"Kiavash Hossein Sadeghi, A. Razminia, E. Roshandel","doi":"10.1109/ICCIAUTOM.2017.8258683","DOIUrl":null,"url":null,"abstract":"A dynamic model for a solar power plant is very vital to be obtained for power and control engineers. In order to achieve a suitable dynamic model that best describes the solar plant characteristics, we have utilized an effective parameter estimation method called prediction error method (PEM). Afterward the estimated parameters have been identified by the iterative and recursive algorithms. The results for each method have been performed numerically, and finally a comparison and analysis of the results have been discussed.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Comparison of iterative and recursive algorithms for identifying a solar power plant system\",\"authors\":\"Kiavash Hossein Sadeghi, A. Razminia, E. Roshandel\",\"doi\":\"10.1109/ICCIAUTOM.2017.8258683\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A dynamic model for a solar power plant is very vital to be obtained for power and control engineers. In order to achieve a suitable dynamic model that best describes the solar plant characteristics, we have utilized an effective parameter estimation method called prediction error method (PEM). Afterward the estimated parameters have been identified by the iterative and recursive algorithms. The results for each method have been performed numerically, and finally a comparison and analysis of the results have been discussed.\",\"PeriodicalId\":197207,\"journal\":{\"name\":\"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCIAUTOM.2017.8258683\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIAUTOM.2017.8258683","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparison of iterative and recursive algorithms for identifying a solar power plant system
A dynamic model for a solar power plant is very vital to be obtained for power and control engineers. In order to achieve a suitable dynamic model that best describes the solar plant characteristics, we have utilized an effective parameter estimation method called prediction error method (PEM). Afterward the estimated parameters have been identified by the iterative and recursive algorithms. The results for each method have been performed numerically, and finally a comparison and analysis of the results have been discussed.