P.L ezhnyuk, V. Komar, S. Kravchuk, V. Lesko, V. Netrebskiy
{"title":"光伏电站发电前一日逐时预报的气象参数分析","authors":"P.L ezhnyuk, V. Komar, S. Kravchuk, V. Lesko, V. Netrebskiy","doi":"10.1109/IEPS.2018.8559598","DOIUrl":null,"url":null,"abstract":"The paper presents an analysis of the mechanisms of functioning of the new model of the wholesale electricity market. According to this, the work of stations based on the using renewable energy sources (RSE), in particular photovoltaic power stations (PPS), should take place on the basis of the announced hourly generating graph by the owner of the station one day ahead. In order to ensure the accuracy of the predicted graph, a study was carried out on the determination of meteorological parameters that most affected the generation of electricity at photovoltaic power plants. Results of cluster and regression analysis were conducted on the basis of meteorological data, measured at the station located in the Vinnitsa region.","PeriodicalId":340150,"journal":{"name":"2018 IEEE 3rd International Conference on Intelligent Energy and Power Systems (IEPS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Meteorological Parameters Analysis for hourly Forecast of Electricity Generation by Photovoltaic Power Station on the Day Ahead\",\"authors\":\"P.L ezhnyuk, V. Komar, S. Kravchuk, V. Lesko, V. Netrebskiy\",\"doi\":\"10.1109/IEPS.2018.8559598\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents an analysis of the mechanisms of functioning of the new model of the wholesale electricity market. According to this, the work of stations based on the using renewable energy sources (RSE), in particular photovoltaic power stations (PPS), should take place on the basis of the announced hourly generating graph by the owner of the station one day ahead. In order to ensure the accuracy of the predicted graph, a study was carried out on the determination of meteorological parameters that most affected the generation of electricity at photovoltaic power plants. Results of cluster and regression analysis were conducted on the basis of meteorological data, measured at the station located in the Vinnitsa region.\",\"PeriodicalId\":340150,\"journal\":{\"name\":\"2018 IEEE 3rd International Conference on Intelligent Energy and Power Systems (IEPS)\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 3rd International Conference on Intelligent Energy and Power Systems (IEPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEPS.2018.8559598\",\"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 3rd International Conference on Intelligent Energy and Power Systems (IEPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEPS.2018.8559598","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Meteorological Parameters Analysis for hourly Forecast of Electricity Generation by Photovoltaic Power Station on the Day Ahead
The paper presents an analysis of the mechanisms of functioning of the new model of the wholesale electricity market. According to this, the work of stations based on the using renewable energy sources (RSE), in particular photovoltaic power stations (PPS), should take place on the basis of the announced hourly generating graph by the owner of the station one day ahead. In order to ensure the accuracy of the predicted graph, a study was carried out on the determination of meteorological parameters that most affected the generation of electricity at photovoltaic power plants. Results of cluster and regression analysis were conducted on the basis of meteorological data, measured at the station located in the Vinnitsa region.