含风电场的电力系统无功规划优化

Optimization of Reactive Power Planning for Power System Containing Wind Farms

针对风电出力的随机性,采用基于概率分析的场景方法研究含风电场的电力系统无功规划优化问题,以补偿设备总费用和年电能损耗费用为总和的年综合费用为目标函数,分析了风机的典型场景模型及在潮流计算中的处理方法,建立了含风电场的电力系统无功规划优化模型。在此基础之上,采用基于内点法和改进遗传算法的混合算法实现连续变量和离散变量共存的大规模电力系统无功规划优化,完整给出了能够用于包含风电场的电力系统无功规划优化方案。算例分析结果验证了上述模型及算法的正确性和有效性。

In view of the random feature of wind power, by use of probability analysis based scenario method the optimization of reactive power planning of power system containing wind farms is researched. The minimized annual overall cost, which is the summation of the all-in cost of compensation equipments and annual power loss cost, is taken as the objective function; then based on the analysis on typical scenario model of wind turbine and the processing method used in power flow calculation, an optimal model of reactive power planning of power system containing wind farms is built; and then the hybrid algorithm based on nonlinear interior point method （IPM） and improved genetic algorithm （GA） is adopted to implement reactive power planning optimization of large-scale power system, in whose objective function continuous variables and discrete variables coexist; finally, an optimization scheme of reactive power planning for the power system containing wind farms is completely given. Results of calculation examples show that above-mentioned model and algorithm are correct and effective.