To deal with the problem that the reactive power control capacity of doubly-fed induction generator (DFIG) wind farm has not been considered in the distribution network reactive power optimization process, reactive power optimization in distribution network considering reactive power capability limits of DFIG wind farm is studied. The influence of wind velocity prediction error on DFIG wind farm reactive power capacity is considered. The reactive power capability limits of DFIG wind farm are utilized as the constraint, and the DFIG wind farm is regarded as a continuous reactive power source to take part in the reactive power optimization in a distribution network. The active power loss and node voltage deviation minimization are chosen as the objective function in the proposed reactive power optimization algorithm. The particle swarm optimization (PSO) algorithm is used to solve this optimization problem. A 33-node distribution system is used as a test case to validate the algorithm.%针对目前配电网无功优化中没有考虑具有灵活无功调节能力的并网双馈电机风电场为系统提供无功支持的问题,研究了考虑双馈电机风电场无功调节能力的配电网无功优化模型和算法.分析了风速预测误差对双馈电机风电场无功容量的影响,将双馈电机风电场无功容量极限作为约束条件,在最大效率利用风能的前提下将双馈电机风电场作为连续无功源参与配电网无功优化,建立了以系统有功网损与节点电压偏差之和最小为目标函数的无功优化模型,把含双馈电机风电场的配电网无功优化问题转换为一个多约束的非线性混合整数优化数学问题,并采用粒子群优化(PSO)算法进行求解.利用IEEE 33节点系统作为算例进行了仿真分析,结果验证了所提出的算法的有效性.
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