Economic Load Dispatch using Novel Bat Algorithm

S. Gautham, J. Rajamohan
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引用次数: 20

Abstract

The primary role of Economic Load Dispatch (ELD) is for obtaining the most efficient operation out of a power system generation network. The main objective of performing the ELD is to minimize the generator fuel cost. The minimum cost function found using optimization techniques is a widely researched area. One such optimization technique is the Bat algorithm. In this communication, Novel Bat Algorithm has been introduced to solve the ELD problem. The Novel Bat Algorithm introduces the idea of using Doppler Effect and movement of bats between different habitats. It is compared with the Bat algorithm and the Particle Swarm Optimization to find the most efficient among them. The effectiveness of the proposed method is illustrated by testing it on 5-unit and 6-unit systems.
基于Bat算法的经济负荷调度
经济负荷调度(ELD)的主要作用是实现发电网络的最高效运行。执行ELD的主要目标是将发电机燃料成本降至最低。利用优化技术找到的最小代价函数是一个被广泛研究的领域。其中一种优化技术就是Bat算法。本文引入了一种新颖的Bat算法来解决ELD问题。新的蝙蝠算法引入了利用多普勒效应和蝙蝠在不同栖息地之间运动的思想。将其与蝙蝠算法和粒子群算法进行比较,找出其中最有效的算法。通过在5单元和6单元系统上的测试,验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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