Kun Yao, J. Wan, G. Ren, Mengqi Pan, Wei Wang, Yong Cao, Jilai Yu
{"title":"The Amplitude & Frequency Bilateral Modulation Characteristics of Wind Speed Signal","authors":"Kun Yao, J. Wan, G. Ren, Mengqi Pan, Wei Wang, Yong Cao, Jilai Yu","doi":"10.1109/ICPDS47662.2019.9017189","DOIUrl":null,"url":null,"abstract":"The sufficient actual big data analysis shows that wind speed has multi-scale amplitude & frequency modulation characteristics. There is an evident amplitude modulation effect between the average wind speed and the turbulence variance, and the modulation effect is also found with multi-scale characteristic. The turbulence intensity decreases with the wind speed in a certain range. However, when the wind speed is great in a certain degree, the turbulence intensity almost keeps stable. Simultaneously, both the average wind speed and the center frequency also have the multi-scale modulation effect. The center frequency increases with the wind speed in a certain range. However, when the wind speed is great in a certain degree, the center frequency almost keeps stable. The key discussion was given for this multi-scale amplitude and frequency modulation characteristic resulting from the cascade effect of turbulent energy transport. And the instantaneous model of wind speed and wind power is presented for its great significance of power system's real-time dispatch and optimization control.","PeriodicalId":130202,"journal":{"name":"2019 IEEE International Conference on Power Data Science (ICPDS)","volume":"15 15","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Power Data Science (ICPDS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPDS47662.2019.9017189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The sufficient actual big data analysis shows that wind speed has multi-scale amplitude & frequency modulation characteristics. There is an evident amplitude modulation effect between the average wind speed and the turbulence variance, and the modulation effect is also found with multi-scale characteristic. The turbulence intensity decreases with the wind speed in a certain range. However, when the wind speed is great in a certain degree, the turbulence intensity almost keeps stable. Simultaneously, both the average wind speed and the center frequency also have the multi-scale modulation effect. The center frequency increases with the wind speed in a certain range. However, when the wind speed is great in a certain degree, the center frequency almost keeps stable. The key discussion was given for this multi-scale amplitude and frequency modulation characteristic resulting from the cascade effect of turbulent energy transport. And the instantaneous model of wind speed and wind power is presented for its great significance of power system's real-time dispatch and optimization control.