基于伪并行遗传算法的配电网电容器优化配置

Optimal capacitor arrangement based on pseudo parallel genetic algorithm

针对普通遗传算法易陷入早熟收敛的问题,提出基于伪并行运算的改进遗传算法并应用于配电网无功补偿电容器组的最优规划问题。通过控制多种群并行进化,同时采用控制策略实现种群间个体迁移,以保持个体多样性及局部最优个体的数量。算例证明,此方法可以显著提高算法的全局收敛能力及计算速度。

A pseudo parallel genetic algorithm is introduced in this paper to solve optimal capacitor arrangement problem. By controlling population with different parameters, it can avoid the premature convergence problem in simple genetic algorithm to keep the diversity of population and increase the calculation speed. Case study shows that the proposed algorithm can enhance the search efficiency and is easier to reach the global convergence.