中文摘要：

粒子群优化算法在进化中随种群多样性减少易出现早熟收敛等问题。基于免疫克隆选择学说理论,提出了一种免疫克隆粒子群算法。在算法进化过程中,引入克隆复制算子、免疫基因算子、克隆选择算子。成比例克隆复制可以使优良个体得到保护,加快算法收敛;免疫基因操作可以增加种群的多样性;克隆选择从所有子代、父代中选择出最优个体,避免算法退化。将该算法应用于电力系统无功优化中,以IEEE30节点的电力系统为例进行了仿真,结果表明：使用该算法优化的网损平均值更低,寻优性能更好,优化的网损值集中在比较小的区间。

英文摘要：

There exixt the disadvantages such as prernaturity in particle swarm optimization because of the decrease of swarm diversity. An immune clone particle swarm optimization algorithm was proposed based on the immune clone selection theory. Clone copy operator, immune gene operator and clone selection operator were performed during the evolutionary. According to particle＇s affinity, proportion clone copy can protect eximious individuals and speed up convergence; immune gene operation maintains diversity of swarm; clone selection, which selects best individuals, can avoid the algorithm degenerating effectively. The algorithm was used in the reactive power optimization in power system, the simulation on IEEE 30-bus system shows that the average transmission loss is lower, with better optimization performance and smaller area of optimized transmission loss values.