中文摘要：

优化了传统粒子群算法,运用了混沌算法对粒子做初始化,优化了传统粒子群算法的收敛特性,并在算法的优化过程中,增加了混沌干扰元素对整体最优化极值做混沌干扰,将符合杂交几率的优化粒子做杂交处理,提高了粒子群的种类,增强了粒子群算法的搜寻水平。并通过IEEE33节点的分布型电力系统做无功优化仿真验证,通过比较,验证了优化算法的优越性与准确性。

英文摘要：

It use chaos algorithm on the algorithm of the particle in the swarm initializing.The convergence of al-gorithm is improved.The algorithm add chaotic disturbance fact.In order to chaotic disturbances for the global optimal values, in addition to meet probability of cross the particle hybrid operations, increasing the diversity of particle, improving the global search ability of the PSO algorithm.It introduces the reactive power optimization background, to establish the power web without reactive power optimization models, and carry on the simulation of the IEEE33 system, showing the optimization operations of the distribution work is effective.