An improved adaptive immune genetic algorithm is proposed to meet the demand of diagnosis of distribution network. The new method can overcome the disability of standard GA. Through adjusting crossover and mutation probability adaptively and generating vaccines dynamically, the algorithm improve the shortcoming of standard GA for slow convergence and vaccine failure. The new method maintains the diversity of the population through get more new antibody by random born rather than delete it. Build up a new target function, take the diagnosis of a distribution network for example, the experiments show the availability, feasibility and advantage of the new method.%针对电网故障的特点,应用一种改进的免疫遗传算法对电网故障进行研究.该算法能够较好地解决传统遗传算法的不足.通过引入新的交叉和变异率,更多考虑了种群的全局特征,采用动态自适应方式提取疫苗,避免了传统遗传算法收敛速度较慢的缺点.改进的算法本着优胜劣汰的思想,删除适值较低的抗体群,取而代之的是随机生成的部分新抗体,保持种群的多样性.建立一个新的目标函数,通过对一个电网的分析,验证了方法的有效性.
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