基于遗传算法与粒子群算法的配电网无功优化

Reactive Power Optimization of Radical Distribution System Based on Genetic Algorithm and Particle Swarm Optimization

根据遗传算法(GA)收敛效果好和粒子群算法(PSO)收敛速度快的特点,将两者相结合对配电网无功优化模型进行求解。计算结果表明:该算法是收敛的、有效的。

This paper implements reactive power optimization calculation based on hybrid of Genetic Algorithm and Particle Swarm Optimization. It integrates GA with the characteristic of convergency and PSO with the characteristic of rapidly converging. The example shows that the model is correct, and the algorithm is convergent and effective.