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Noninferior Solution Grey Wolf Optimizer with an Independent Local Search Mechanism for Solving Economic Load Dispatch Problems

Authors :
Jun Guan
Fengshu Li
Kumchol Yun
Lifei Su
Fu Yan
Jianzhong Xu
Source :
Energies, Vol 12, Iss 12, p 2274 (2019), Energies, Volume 12, Issue 12
Publication Year :
2019
Publisher :
MDPI AG, 2019.

Abstract

The economic load dispatch (ELD) problem is a complex optimization problem in power systems. The main task for this optimization problem is to minimize the total fuel cost of generators while also meeting the conditional constraints of valve-point loading effects, prohibited operating zones, and nonsmooth cost functions. In this paper, a novel grey wolf optimization (GWO), abbreviated as NGWO, is proposed to solve the ELD problem by introducing an independent local search strategy and a noninferior solution neighborhood independent local search technique to the original GWO algorithm to achieve the best problem solution. A local search strategy is added to the standard GWO algorithm in the NGWO, which is called GWOI, to search the local neighborhood of the global optimal point in depth and to guarantee a better candidate. In addition, a noninferior solution neighborhood independent local search method is introduced into the GWOI algorithm to find a better solution in the noninferior solution neighborhood and ensure the high probability of jumping out of the local optimum. The feasibility of the proposed NGWO method is verified on five different power systems, and it is compared with other selected methods in terms of the solution quality, convergence rate, and robustness. The compared experimental results indicate that the proposed NGWO method can efficiently solve ELD problems with higher-quality solutions.

Details

Language :
English
ISSN :
19961073
Volume :
12
Issue :
12
Database :
OpenAIRE
Journal :
Energies
Accession number :
edsair.doi.dedup.....e817512b0e572694905f991a849d3938