基于小生境技术的Pareto多目标配网重构

配电网重构可以提高配电网运行的安全性、经济性和供电质量,对于当前国内配电自动化系统建设和应用具有重要意义。该文提出一种基于小生境技术的多目标配电网最优重构遗传算法,将安全约束作为目标之一,得到Pareto最优解集,实现了真正意义上的多目标优化;提出了基于相似个体交叉和( 2 +2 )选择机制的小生境并行进化技术,改善了遗传算法的全局收敛可靠性和收敛速度。最后用算例说明了该方法的应用。

Distribution network reconfiguration with Pareto multi-objective based on Niche

Distribution network reconfiguration can improve security and quality of network operation as well as minimize the power loss, and it is of great importance for construction and application of distribution automation system at present in China. The distribution network reconfiguration with Pareto multi-objective including security constraints based on Niche genetic algorithm, results in Pareto optimal sets, and realizes real meaning of multi-objective optimization. A class of parallelism evolution technique for Niches implemented by crossover of similar individuals and (2+2) selected mechanisms are proposed, which improves remarkably the reliability of global convergence and convergening velocity. An example proves the efficiency and advantage of this method.