首先介绍风电场功率控制构架及功率控制过程,基于风电场各控制对象动态特性分析,构建模型预测控制用风电场功率控制线性化模型。在此基础上,以风电机组传动链机械载荷、场站功率跟踪偏差和损耗最小为优化目标,提出一种风电场有功/无功模型预测协调优化控制方法,设计目标函数及约束条件。最后,在Matlab/Simulink中建立风电场仿真模型,仿真结果表明所提控制策略能够在准确跟随电网调度下发的发电任务和电压指令的同时,可减小风电场有功和无功损耗、降低各机组传动链疲劳载荷,可提升风电运行安全性与经济性。
Abstract
The wind farm's power control structure and process are introduced in this paper. Fristly, a linearized power control model for model predictive control is established with an analysis of the dynamic characteristics of each control object within the wind farm. Subsequently, a strategy for coordinated and predictive control of active and reactive power models in wind farm is proposed. This strategy aims to minimize the load change of the wind turbine transmission chain, the voltage variation across each wind turbine, and the active and reactive power losses within the wind farm. Furthermore, the model predictive control algorithm is elucidated. Finally, a wind farm simulation model is established within Matlab/Simulink. Simulation results demonstrate that the proposed control strategy can accurately adhere to the power generation tasks and voltage commands issued by power grid dispatching. Concurrently, it reduces the active and reactive power losses of the wind farm and the drive train fatigue load of each wind turbine, enhancing the operational safety and economy of the wind turbine.
关键词
风力发电 /
有功控制 /
无功控制 /
疲劳载荷 /
风电场损耗
Key words
wind power /
active power control /
reactive power control /
fatigue load /
wind farm losses
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基金
国家重点研发计划项目（2021YFB2400500）
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