Xiaofeng Li, Haixin Luo, Ya Gao, Yi You, Yueyang Li
{"title":"Frequency Domain Identification-Based Feedforward-Feedback Controller for Coordinated Power Control of Wind and Gas Joint Power Generation","authors":"Xiaofeng Li, Haixin Luo, Ya Gao, Yi You, Yueyang Li","doi":"10.1109/CCDC.2018.8408038","DOIUrl":null,"url":null,"abstract":"In this paper, a feedforward-feedback coordinated control scheme is proposed for the hybrid wind farm and combined cycle power plant (CCPP) system. In this system, we first identify the power control loop model of CPCC and the process model of the wind turbine generator (WTG), according to the automatic generation control and daily wind farm operating data. Specifically, the process frequency response is estimated using the measured input and output data of the process loop; their transfer functions are obtained by solving least squares with the variables amplitude and phase. Based on above CCPP and WTG models, the improved Internal Model Control (IMC) and optimal feedforward controller methods are then used to design the feedback and feedforward controllers. In comparative study we demonstrate that, the proposed scheme achieves significant improvement in reducing power deviation in the grid caused by the intermittent wind power.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Chinese Control And Decision Conference (CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2018.8408038","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
In this paper, a feedforward-feedback coordinated control scheme is proposed for the hybrid wind farm and combined cycle power plant (CCPP) system. In this system, we first identify the power control loop model of CPCC and the process model of the wind turbine generator (WTG), according to the automatic generation control and daily wind farm operating data. Specifically, the process frequency response is estimated using the measured input and output data of the process loop; their transfer functions are obtained by solving least squares with the variables amplitude and phase. Based on above CCPP and WTG models, the improved Internal Model Control (IMC) and optimal feedforward controller methods are then used to design the feedback and feedforward controllers. In comparative study we demonstrate that, the proposed scheme achieves significant improvement in reducing power deviation in the grid caused by the intermittent wind power.