一种改进的杜鹃搜索经济负荷调度算法

Anirban Dutta, Snigdhajyoti Das, B. Tudu, K. Mandal
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引用次数: 5

摘要

经济负荷调度是电力系统优化中的一个重要问题。它有助于创建非常有效的单元管理计划,并将发电成本降至最低。在本文中,我们使用一种称为精英杜鹃搜索(ECS)的新型改进算法来解决ELD问题,同时考虑到电厂的实际限制,如发电斜坡率和禁止操作区域。输电网络损耗也被考虑在内。在一个由15台发电机组组成的样本测试系统上验证了该算法的有效性。结果表明,与其他元启发式算法相比,布谷鸟搜索(CS)和改进布谷鸟搜索(ICS)都陷入局部极小值,收敛性较差。因此,为了提高性能,减少陷入局部最优的概率,提高这两种布谷鸟搜索算法的收敛特性,引入了一种新的方法,称为精英布谷鸟搜索(ECS),并被证明优于布谷鸟搜索、改进布谷鸟搜索等知名的元启发式算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel improved algorithm using Cuckoo Search for Economic Load Dispatch
Economic Load Dispatch (ELD) is an important problem in power system optimization. It helps to create very efficient unit management plans and keeps the generation cost to a minimum. In this paper, we have addressed ELD problem with a novel improved algorithm called Elitist Cuckoo Search (ECS) keeping in mind the practical constraints of a plant such as generation ramp rate and prohibited zones of operation. The transmission network losses are also taken into account. The effectiveness of the proposed algorithm is tested on a sample test system consisting of fifteen generating units. It is observed that both Cuckoo Search (CS) and Improved Cuckoo Search (ICS) are trapped in local minima and give worse convergence characteristics when compared to other meta-heuristic algorithms applied to the same test case. Hence in order to improve the performance, reduce the probability of getting trapped in local optima and to improve the convergence characteristics of these two Cuckoo Search algorithms, a new method called Elitist Cuckoo Search (ECS) is introduced and is shown to be superior than Cuckoo Search, Improved Cuckoo Search and other well-known meta-heuristic algorithms.
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