计及双馈机组无功辅助功能的电力系统多目标无功优化研究

Multi-objective Reactive Power Optimization by Considering Reactive Power Auxiliary Function of DFIG

双馈异步风力发电机转子侧和网侧变流器具有一定的无功调节能力,可根据所接入电网运行要求发挥其自身的无功辅助功能。本文在双馈风电机组输出有功功率最佳的前提下将风电场作为连续无功源参与到无功电压控制中,在双馈机组无功出力不确定的情况下,应用免疫遗传算法(IGA)进行求解。在此基础上,根据风电场建设需求,讨论不同装机容量的风电场以及风电场并网位置对无功优化的影响。建立了以系统有功网损和电压偏差之和最小的目标函数,通过对改进的IEEE-30节点系统分析计算,验证了该目标函数及算法的可行性。

The converters at rotor and grid side of DFIG have such ability as reactive power regulation,and can play their reactive power auxiliary function according to operation requirements of its accessing to wind farms.In this paper,wind farm which is regarded as a continuous reactive power source is involved in the control of reactive power and voltage under the premise of optimized active power output of DFIG,and immune genetic algorithm（IGA） is used as solution method under the uncertainty condition of reactive power output for doubly fed induction generator.On this basis,the influence of different capacity of wind generators and the location of wind farms integrated power grid on reactive power optimization are discussed according to the demands of wind farms construction.The objective function is built with the minimum sum of system loss of power system and voltage deviation,and its feasibility is verified through analyzing on the improved IEEE-30 node system.