Guo-lin Yang, Hanyi Chen, Kaifeng Zhang, Ying Wang, F. Xu
{"title":"Modelling and design of wind power forecast error estimation system","authors":"Guo-lin Yang, Hanyi Chen, Kaifeng Zhang, Ying Wang, F. Xu","doi":"10.1109/WARTIA.2014.6976526","DOIUrl":null,"url":null,"abstract":"The error estimation of wind power forecast is of great importance to the dispatch and control, security and defense, etc. of power systems. In this paper, a system used to estimate the wind power forecast error is designed from the viewpoint of decoupling principle. Firstly, the paper refines the decoupling process of estimating wind power forecast error based on numerical feature extraction. Secondly, the database was divided into historical database and real-time database based on the times of reading and writing and how much of the data we use. Then, Man-Machine Interface, System Query, Data Management and Transfer are developed combined with the database. Finally, the paper develops the system that can estimate the wind power forecast error using Qt Creator based on the smart grid scheduling technology support system “D5000”. The designed system has been applied in a provincial power grid in northwestern China. All the demonstrated results indicate the feasibility and practicality of the designed system.","PeriodicalId":288854,"journal":{"name":"2014 IEEE Workshop on Advanced Research and Technology in Industry Applications (WARTIA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Workshop on Advanced Research and Technology in Industry Applications (WARTIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WARTIA.2014.6976526","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
The error estimation of wind power forecast is of great importance to the dispatch and control, security and defense, etc. of power systems. In this paper, a system used to estimate the wind power forecast error is designed from the viewpoint of decoupling principle. Firstly, the paper refines the decoupling process of estimating wind power forecast error based on numerical feature extraction. Secondly, the database was divided into historical database and real-time database based on the times of reading and writing and how much of the data we use. Then, Man-Machine Interface, System Query, Data Management and Transfer are developed combined with the database. Finally, the paper develops the system that can estimate the wind power forecast error using Qt Creator based on the smart grid scheduling technology support system “D5000”. The designed system has been applied in a provincial power grid in northwestern China. All the demonstrated results indicate the feasibility and practicality of the designed system.