摘要
针对风电机组并网后对配电网无功补偿产生的影响,从双馈风电机组自身的有功、无功输出特性出发,基于场景概率的方法计算风力机组出力情况,以网损最小为目标函数寻求优化求解方法。利用改进粒子群算法来实现系统接入双馈风电机组后的无功优化,在Matlab 2013b软件中构造IEEE33节点模型并利用该算法求解。结果表明,双馈风电机组在参与系统无功优化时具有良好的性能,验证了该改进算法的有效性。
With focus on the influence of wind power integration on the distribution network reactive power compensa-tion,this paper analyzes the active power and reactive power characteristics of the doubly-fed induction generator(DFIG),and then it calculates the wind turbine output based on the method of scene probability and seeks the optimization method on the objective function of the minimum loss of active power.The enhanced particle swarm optimization algorithm is used to optimize the reactive power of the power system with connection of the DFIG and the IEEE 33-nodes model is established in the Matlab 2013 b to acquire the optimal solution with this algo-rithm. The result indicates that DFIG has a good performance in the reactive power optimization for system and thus has verified validity of this enhanced algorithm.
出处
《电网与清洁能源》
北大核心
2015年第8期94-99,共6页
Power System and Clean Energy
关键词
改进粒子群算法
双馈风电机组
无功优化
场景概率
配电网
enhanced PSO algorithm
DFIG
reactive power optimization
scene probability
distribution network
