文章基本信息

标题：Active Power Control for Wind Farms Based on MPC Combined with State Classification
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作者：Miao Liu ; Jianxiao Zou ; Chao Peng 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：2137-2144
DOI：10.1016/j.ifacol.2017.08.587
语种：English
出版社：Elsevier
摘要：AbstractThis paper is devoted to an active power control architecture for a wind farm based on model predictive control (MPC) combined with wind turbine (WT) state classification. The objectives include wind farm power reference tracking and improving the response to power grid scheduling. Conventionally, a PI controller with a proportional distribution block is applied at the wind farm control level. However, the strategy proposed in this paper replaces the PI controller with MPC controllers and adds another power distribution block before the MPC controllers. Based on the WT state classification according to different wind speed ranges, the equivalent models of WTs for the corresponding MPC controllers are built. Besides, a proper allocation algorithm for the introduced distribution block is designed. With the classification concept, the response speed is significantly improved. The proposed control strategy is tested on a wind farm with 14 WTs using MATLAB\Simulink simulation and the effectiveness is verified.
关键词：KeywordsControl of renewable energy resourcesOptimal operationcontrol of power systemsWind Farm ControlActive Power ControlModel predictive controlState Classification