基于细菌趋化的改进粒子群算法在无功优化中的应用

粒子群算法在电力系统无功优化中已经得到了广泛的应用，但是传统粒子群算法易陷入局部最优、后期多样性差，得不到最优解。在原有无功优化数学模型的基础上，引入了基于细菌趋化的粒子群改进算法。通过算例表明，该算法可以有效地克服以上缺点，优化计算结果。

Application of Particle Swarm Optimization Based on Bacterial Chemotaxis to Reactive Power Optimization

Particle swarm optimization algorithm has been widely used in reactive power optimization. But traditional PSO will fall into local optimum easily, has a poor late diversity and can not obtain the optimal solution. Based on traditional mathematical model, a new PSO advanced method based on bacterial chemotaxis is introduced. The simulation example shows that it can overcome the above shortcoming and optimize the result effectively.