【摘要】 尝试将人工鱼群算法(AFSA)用于电力系统无功优化,建立了相应的优化模型,对IEEE6、IEEE14节点系统及某地区实际电力系统进行了无功优化计算,并与遗传算法(GA)、改进Tabu搜索算法(MTSA)进行了比较,结果表明AFSA鲁棒性强,全局收敛性好,用于电力系统无功优化计算是有效、可行的。更多还原

【Abstract】 An artificial fish-swarm algorithm(AFSA) for reactive power optimization of power system and a model based on AFSA are presented for the first time in this paper. Compared with the genetic algorithm(GA) and the modified Tabu search algorithm (MTSA), the reactive power optimization result of IEEE 6, IEEE 14 node system and a real region power system by AFSA shows that AFSA has a strong robustness and good global astringency. It also shows that AFSA is a successful and feasible approach for reactive power optimization.更多还原