基于细菌趋化的改进粒子群算法在电力系统无功优化中的应用

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,该算法可以有效克服传统粒子群算法的缺点,优化计算结果.;Traditional PSO falls into local optimum easily and 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 shortcomings of traditional particle swarm algorithm and optimize the result effectively