基于改进的人工鱼群算法的配电网无功优化

研究了基于变异算子与模拟退火算法混合的人工鱼群算法，对算法中的变异算子进行了改进，并提出了1种试探确定变异概率的方法：同时对配电网无功优化的模型进行了改进．将经济性目标和安全性目标相结合。将改进的人工鱼群算法运用到配电网无功优化中．实际系统的仿真计算结果表明，基于改进人工鱼群算法的配电网无功优化方法合理可行。

Distribution Network Reactive Optimation Based on Improved Artificial Fish Swarm Algorithm

The artificial fish swarm algorithm,which is combined with the mutation operator and simulated annealing algorithm is researched. We have improved the mutation operator and presented a method to tentative determining of mutation probability, and The economic objective function and security objective function is combined to improve the established optimization models of reactive power distribution network. The artificial fish algorithm which combined the impoved mutation operator and simulated annealing algorithm is applied to the reactive power optimization, the actual system is taken as an example to calculate ,The result shows that the improved algorithm for reactive power distribution network optimization can be reasonable and feasible.