{"title":"标定风力发电机组功率曲线及风力发电机组预测模型","authors":"Chen Wei, Pu Yue","doi":"10.1109/ICINFA.2015.7279354","DOIUrl":null,"url":null,"abstract":"Power curve provided by wind generator manufacturer, which characterizes the steady-state operation condition of wind generating set, has deviation when it is used to analyze the real operating condition of wind generation set. This paper conducts the calibration of power curve of wind-driven generator and builds the forecasting model of wind power based on least squares support vector machine (LS-SVM). Simulation results have verified the efficacy of the proposed prediction model.","PeriodicalId":186975,"journal":{"name":"2015 IEEE International Conference on Information and Automation","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Calibration power curve of wind generator and forecasting model of wind power unit\",\"authors\":\"Chen Wei, Pu Yue\",\"doi\":\"10.1109/ICINFA.2015.7279354\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Power curve provided by wind generator manufacturer, which characterizes the steady-state operation condition of wind generating set, has deviation when it is used to analyze the real operating condition of wind generation set. This paper conducts the calibration of power curve of wind-driven generator and builds the forecasting model of wind power based on least squares support vector machine (LS-SVM). Simulation results have verified the efficacy of the proposed prediction model.\",\"PeriodicalId\":186975,\"journal\":{\"name\":\"2015 IEEE International Conference on Information and Automation\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Information and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICINFA.2015.7279354\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Information and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICINFA.2015.7279354","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Calibration power curve of wind generator and forecasting model of wind power unit
Power curve provided by wind generator manufacturer, which characterizes the steady-state operation condition of wind generating set, has deviation when it is used to analyze the real operating condition of wind generation set. This paper conducts the calibration of power curve of wind-driven generator and builds the forecasting model of wind power based on least squares support vector machine (LS-SVM). Simulation results have verified the efficacy of the proposed prediction model.