基于模拟退火免疫算法的配电网重构

网络的重构对电力系统的优化运行十分重要。基于模拟退火免疫的配电网重构算法以环路编码方式,预先存储各环路间的公共开关来进行解个体的处理,使得进化完全在可行解中进行。将进化过程中的历史最优个体与当前最优个体结合起来动态构造疫苗,提高了解个体质量与搜索速度。此外,基于Boltzmann退火的选择算子保证了种群的多样性,避免进化过早陷入早熟,同时高频变异与免疫补充也提高了对最优解的搜索能力。算例研究表明,所建议的算法收敛性较好。

Distribution Network Reconfiguration by Simulated Annealing Immune Algorithm

Distribution network reconfiguration is very important to the operation of power systems. In loop encoding way, the distribution network reconfiguration with simulated annealing immune (SAI) algorithm proposed in this paper makes storage of the public switches among loops in advance for individual treatment so that the individual evolution can go on feasibly. Combining the historic and present optimal individuals to construct bacteria dynamically, the proposed algorithm can improve not only the speed of evolution searching but also the individual performance through vaccination. Besides, the population diversity in the algorithm is ensured by the selection operator of Boltamann annealing method to avoid the early maturity of evolution, and at the same time, the high frequency mutation and immune supplement can increase the search capability for the optimal solution. Case study shows that the proposed algorithm is good in convergence.