含风电场的电力系统无功优化研究

Reactive Power Optimization in Distribution System with Wind Farm

随着风力发电渗透率的逐渐提高,风机出力的随机性给电力系统带来更多不确定性因素。采用电压稳定裕度确定系统电压临界崩溃点并在此处接入风机,利用双馈风机能够发出无功功率的特点稳定系统电压。根据风速变化曲线,将风速划分为5个典型风速段,建立以有功网损最小和电压偏移最小为目标的无功优化数学模型,采用改进粒子群优化算法进行求解,应用IEEE 30节点系统进行测试,验证所提算法的有效性和可行性。

With the gradual increase of wind power penetration rate,the randomness of wind power output brought more uncertainty factors to the power system.The voltage stability margin was used to determine the critical voltage collapse of the system.And the wind turbines were accessed at the node.Then the system voltage could be stabilized with the characteristics that the double-fed induction generators can output reactive power.According to the wind speed variation curve,the wind speed was divided into five typical wind speed sections.With the target of minimum loss of the active network and minimum system voltage deviation,the reactive power optimization mathematical model was established.An improved particle swarm optimization algorithm was adapted to solve the problem.The IEEE 30-node system was used to test the validity and feasibility of the proposed method.