S. Shevchenko, D. Danylchenko, S. Dryvetskyi, A. Potryvai
{"title":"基于Matlab Simulink的光伏组件仿真模型现代化——考虑光伏板降雪对系统性能的影响,并对面板清洗进行校正","authors":"S. Shevchenko, D. Danylchenko, S. Dryvetskyi, A. Potryvai","doi":"10.1109/KhPIWeek53812.2021.9570030","DOIUrl":null,"url":null,"abstract":"The paper proposes two block models that allow to bring the simulation model of a solar power plant closer to the prediction of generation under operating conditions, by taking into account the effect of snowing of the PV module surface on the generation of the solar power plant and the effect of artificial cleaning.","PeriodicalId":365896,"journal":{"name":"2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek)","volume":"25 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Modernization of a Simulation Model of a Photovoltaic Module, by Accounting for the Effect of Snowing of Photovoltaic Panels on System Performance with Correction for Panel Cleaning for Matlab Simulink\",\"authors\":\"S. Shevchenko, D. Danylchenko, S. Dryvetskyi, A. Potryvai\",\"doi\":\"10.1109/KhPIWeek53812.2021.9570030\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper proposes two block models that allow to bring the simulation model of a solar power plant closer to the prediction of generation under operating conditions, by taking into account the effect of snowing of the PV module surface on the generation of the solar power plant and the effect of artificial cleaning.\",\"PeriodicalId\":365896,\"journal\":{\"name\":\"2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek)\",\"volume\":\"25 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/KhPIWeek53812.2021.9570030\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KhPIWeek53812.2021.9570030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modernization of a Simulation Model of a Photovoltaic Module, by Accounting for the Effect of Snowing of Photovoltaic Panels on System Performance with Correction for Panel Cleaning for Matlab Simulink
The paper proposes two block models that allow to bring the simulation model of a solar power plant closer to the prediction of generation under operating conditions, by taking into account the effect of snowing of the PV module surface on the generation of the solar power plant and the effect of artificial cleaning.