{"title":"Forecasting the hourly power output of wind farms for day-ahead and intraday markets","authors":"Valentin Kolev, S. Sulakov","doi":"10.1109/BULEF.2018.8646953","DOIUrl":null,"url":null,"abstract":"The penetration of large-scale wind farms causes a number of challenges. The market participants have to deal the wind power output for different market time horizon in order to minimize the deviations of their trading schedules. In order to control the balance between production and consumption, transmission system operators need information in advance, concerning wind generation, to prepare necessary types of reserves and to activate them in real time. The wind power forecasting is frequently identified as an important tool to address the variability and uncertainty of the wind power and to more efficiently operate the power systems with large wind power penetrations. In this report is presented the experience of the implementation of a forecasting model suitable for day-ahead and intraday markets.","PeriodicalId":416020,"journal":{"name":"2018 10th Electrical Engineering Faculty Conference (BulEF)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 10th Electrical Engineering Faculty Conference (BulEF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BULEF.2018.8646953","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The penetration of large-scale wind farms causes a number of challenges. The market participants have to deal the wind power output for different market time horizon in order to minimize the deviations of their trading schedules. In order to control the balance between production and consumption, transmission system operators need information in advance, concerning wind generation, to prepare necessary types of reserves and to activate them in real time. The wind power forecasting is frequently identified as an important tool to address the variability and uncertainty of the wind power and to more efficiently operate the power systems with large wind power penetrations. In this report is presented the experience of the implementation of a forecasting model suitable for day-ahead and intraday markets.