Reactive Power Optimization Control Strategy of DFIG and SVC in Doubly-Fed Wind Farm

针对风电场出力波动引起的风电场并网点(point of common coupling, PCC)电压波动的问题，提出了双馈感应发电机(Doubly-Fed Induction Generator, DFIG)与SVC的无功优化控制策略。首先分析了风电场出力波动对风电场并网点运行电压的影响机理，在此基础上，建立了DFIG与SVC的无功优化控制模型。该模型以风电场并网点电压偏差和风电场内部的有功损耗为优化目标，以DFIG与SVC的无功功率为控制对象，运用多目标决策方法进行模糊化处理，并采用遗传算法进行求解。仿真算例表明，所提优化控制策略能够实现优化目标，在减小并网点电压偏差的同时，降低风电场内部的有功损耗。 Aiming at the problem of voltage fluctuation caused by wind farm output fluctuation, a reactive power optimization control method of DFIG and SVC in wind farm is proposed. Firstly, the influ-ence mechanism of the wind farm output fluctuation on the operating voltage is analyzed, and on this basis, the reactive power optimization control model of DFIG and SVC is established. In this model, the PCC voltage deviation and the active power loss in the wind farm are the optimization objectives; the reactive power of DFIG and SVC are the control objects, using the method of mul-ti-objective decision to process, and the genetic algorithm is used to solve the problem. The simulation results show that the proposed optimal control strategy can achieve the optimization goal, reduce the voltage deviation and reduce the active power loss of the wind farm.