免疫遗传算法在配电网重构中的应用

Application of Immune Genetic Algorithm to Power Distribution System Reconfiguration

配电网重构是配电网络优化的主要措施,其实质是一个多目标非线性混和优化问题.采用免疫遗传算法来研究重构问题的求解方法.免疫遗传算法在传统遗传算法的基础上,借鉴生物免疫机制中抗体的多样性保持策略和记忆抗原的特点,大大提高了算法的全局搜索和局部搜索能力.实验表明,免疫遗传算法具有很好的全局收敛性,能有效解决配电网重构问题.

Power distribution system reconfiguration is a mixed multiobjection and unlinear optimization problem, which is one of the important measures in distribution network optimization. A approach termed as IGA is used to study distribution network reconfiguration(DNR). By the reference of the immunity in boitics science which has lots of advantages such as diversitymaintenance and memory, IGA improves astringency and precision compared with standard genetic algorithm. The simulation results show that IGA performs well at the aspects of search ability and search speed at DNR.