{"title":"风电转换系统输出功率的概率密度函数","authors":"M. Mohanpurkar, R. Ramakumar","doi":"10.1109/PES.2010.5590119","DOIUrl":null,"url":null,"abstract":"Probabilistic models for the power output of Wind Electric Conversion Systems (WECS) are considered. Wind speeds are modeled using Weibull distribution and probability density function for the power output of WECS is derived using the transformation theorem. Variable portion of the power output characteristic is modeled using different functions and the results are compared. Probability density functions for the combined power output of two, four and eight systems are presented and discussed.","PeriodicalId":177545,"journal":{"name":"IEEE PES General Meeting","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Probability density functions for power output of Wind Electric Conversion Systems\",\"authors\":\"M. Mohanpurkar, R. Ramakumar\",\"doi\":\"10.1109/PES.2010.5590119\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Probabilistic models for the power output of Wind Electric Conversion Systems (WECS) are considered. Wind speeds are modeled using Weibull distribution and probability density function for the power output of WECS is derived using the transformation theorem. Variable portion of the power output characteristic is modeled using different functions and the results are compared. Probability density functions for the combined power output of two, four and eight systems are presented and discussed.\",\"PeriodicalId\":177545,\"journal\":{\"name\":\"IEEE PES General Meeting\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE PES General Meeting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PES.2010.5590119\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE PES General Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PES.2010.5590119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Probability density functions for power output of Wind Electric Conversion Systems
Probabilistic models for the power output of Wind Electric Conversion Systems (WECS) are considered. Wind speeds are modeled using Weibull distribution and probability density function for the power output of WECS is derived using the transformation theorem. Variable portion of the power output characteristic is modeled using different functions and the results are compared. Probability density functions for the combined power output of two, four and eight systems are presented and discussed.
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