鱼群算法及其在电力系统经济调度中的应用

Yaming Ren
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引用次数: 0

摘要

鱼群算法模拟鱼群的行为。每一个个体每次只与周围个体交换信息,鱼群算法更有利于全局寻优。鱼群算法是一种不需要利用问题梯度信息的智能算法。每个个体通过与邻近区域的个体交换信息来纠正自己的位置。本文采用鱼群算法求解电力系统的经济调度问题,仿真结果表明鱼群算法是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fish Swarm Algorithm and Its Application in Power System Economic Dispatch
The fish swarm algorithm simulates the behavior of the fish swarm. Each individual only exchanges information with the surrounding individuals each time, the fish swarm algorithm is more conducive to global optimization. Fish swarm algorithm is an intelligent algorithm, which does not need to make use of the gradient information of the problem. Each individual corrects its position by exchanging information with individuals in adjacent areas. In this paper, we use fish swarm algorithm to solve the economic dispatching problem of power system and the simulation results show that the fish swarm algorithm is effective.
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