Cuckoo search algorithm for economic dispatch

被引：177

作者：

Basu, M. ^{[1
]}

Chowdhury, A. ^{[1
]}

机构：

[1] Jadavpur Univ, Dept Power Engn, Kolkata 700098, India

来源：

ENERGY | 2013年 / 60卷

关键词：

Cuckoo search algorithm; Micro grid; Economic dispatch; Multiple fuel; Valve-point loading; Prohibited operating zone; HYBRID DIFFERENTIAL EVOLUTION; PARTICLE SWARM OPTIMIZATION; GENETIC ALGORITHM; UNITS;

D O I：

10.1016/j.energy.2013.07.011

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

This paper presents cuckoo search algorithm for solving both convex and nonconvex ED (economic dispatch) problems of fossil fuel fired generators considering transmission losses, multiple fuels, valve-point loading and prohibited operating zones. This paper also presents cuckoo search algorithm for micro grid power dispatch problem. Cuckoo search algorithm is a new meta-heuristic algorithm. It is a nature-based searching technique which is inspired from the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds of other species. The effectiveness of the proposed algorithm has been verified on different test systems. Compared with the other existing techniques, considering the quality of the solution obtained, the proposed algorithm seems to be a promising alternative approach for solving the ED problems in practical power system and micro grid power dispatch problem. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：99 / 108

页数：10

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