风电场无功电压模糊多目标决策方法

Abstract

针对风电场并网运行难以有效兼顾稳定性与经济性的问题，提出了风电场运行经济性和稳定性目标，其中经济性目标考虑风电场有功损耗指标，稳定性目标考虑风电场无功源无功裕度和风电场电压偏差两个指标。在此基础上，建立了风电场无功电压多目标优化控制模型。该模型以SVC与双馈风电机组的无功功率为控制对象，运用模糊多目标决策方法将风电场无功电压优化转换为一个多目标、多约束的非线性规划问题，并采用粒子群算法进行求解。仿真算例结果表明，所提出的优化决策方法能够实现风电场运行经济性和稳定性的双重目标，在提高风电场电压稳定性的同时，合理降低了风电场损耗。 To solve stability and economy coordinated problem caused by wind farm integration, the targets of stability and economy are put forward, in which economy target considers active power loss, and stability target includes reactive power reserve capacity and voltage deviation of wind farm. Based on this, an optimization control model of reactive power and voltage fuzzy multi-objective decision making method of wind farm is established, in which the reactive power of SVC and DFIG are taken as control objectives, and the fuzzy multi-objective decision making method is used to convert the optimization of reactive power and voltage into a multi-objective and multi-constrained nonlinear programming problem. The particle swarm algorithm (PSO) is adopted to solve the built model. The simulation example results show that the proposed method can achieve the dual targets of economy and stability of wind farms, and can improve the voltage stability of wind farms, and reasonably re-duce the power loss of wind farms.