摘要
本文对配电网的重构问题进行了研究,提出了结合实际的配电网重构目标函数,并将遗传算法引入其中,用来解决这个复杂的,多目标,多约束的组合优化问题。针对遗传算法收敛速度慢、容易"早熟"等缺点,结合模糊推理、模拟退火算法和自适应机制,采用一种改进的遗传算法——模糊自适应模拟退火遗传算法(FASAGA),实例分析表明,该算法比标准的遗传算法(SGA)具有更快的收敛速度和寻优效果。
This reconstruction of the distribution network conducted a study, made light of the actual objective function of distribution network reconfiguration, and in which genetic algorithm is used to solve this complex, multi-objective, multi-constraint combinatorial optimization problem. Slow convergence of genetic algorithms, easy to ＂premature＂ and other shortcomings, combined with fuzzy reasoning, simulated annealing algorithm and adaptive mechanism, an improved genetic algorithm-Fuzzy Adaptive simulated annealing genetic algorithm （FASAGA）, case analysis shows that The algorithm than the standard genetic algorithm （SGA） has a faster convergence speed and optimization results.
出处
《东北电力大学学报》
2010年第4期53-57,共5页
Journal of Northeast Electric Power University
关键词
配电网重构
遗传算法
模糊控制
模拟退火
自适应
distribution network reconfiguration
genetic algorithm
fuzzy control
simulated annealing
adaptive
