接入风电场的电力系统无功优化研究

Research on Reactive Optimization of Power System Connected to Wind Farm

研究了考虑大型风电场接入的电力系统无功优化问题。针对风电场接入时的无功优化模型,分析讨论了接入风电场的系统无功潮流计算,提出了一种改进遗传算法解决传统遗传算法在无功优化中面临的问题。采用混合编码方式处理连续变量和离散变量共存,利用自适应交叉和变异操作提高算法的搜索能力和跳出局部最优解的能力,利用精英代保持进化策略提高算法的可靠性和鲁棒性,在IEEE30标准系统引入风电场验证了该算法的适用性。

Reactive optimization of power system connected to large wind farm is investigated in this paper. Calculation on reactive power flow of the system connected to wind farm is analyzed and discussed. The paper proposes an improved genetic algorithm to solve problems in conventional reactive power. The mixed code ap-proach is employed to coordinate the coexistence of continuous variables and discrete variables. By using self-adaptive crossing and mutation, the abilities of searching and skipping from local optimal solution; by using elite generation, the revolution strategy is maintained to improve the reliability and robustness of the algorithm. In the final, the wind farm is introduced to IEEE30 to verify the effectiveness and adaptability of the method.