基于改进算子的免疫遗传算法的电压无功优化

Voltage and reactive power optimization based on immune genetic algorithm of improved operator

针对电压无功优化问题的特点和免疫遗传算法在求解全局性优化问题中的适用性,应用免疫遗传算法对系统进行电压无功优化。在编码时采用了实整混合编码形式,求抗体相似度时进行了归一化处理,在选择操作时对适应度函数进行了变换,合理的选择变换系数的值,可以保证算法在进化前期保持种群多样性,在进化后期仍能有较快收敛速度,并在交叉变异时实数段和整数段基因采取不同的措施。取IEEE-30节点标准系统为例,利用开发的优化计算程序进行电压无功优化计算,验证了所提出的算法较其他算法在计算和收敛能力上具有优势。

According to the characteristic of voltage and reactive power optimization problem and the applicability of the immune genetic algorithm in solving global optimization problems, this paper applies immune genetic algorithm for voltage reactive power optimization system. It adopts the hybrid coding form when encodes and normalizes the similarity of antibodies, and takes transformation of fitness function in the choice of operation. The reasonable choice of transform coefficient value can maintain the population diversity algorithm in the early stage of the evolution and can still have a faster convergence speed in the late evolution. And it takes different measures in real number and integer gene in crossover and mutation. Taking the standard IEEE-30 node system for example and using optimization procedures to make reactive power optimization calculation, this paper verifies the proposed method has advantages in computing and convergence capabilities compared with other algorithms.