Solving Economic Load Dispatch Problem using Grey Wolf Optimizer Method
Krunalkumar J. Gandhi1, Nitin J. Patil2
1Krunalkumar J. Gandhi, Electrical Engineering Department, D.N.Patel College of Engineering, Shahada, India.
2Nitin J. Patil, Instrumentation Engineering Department, D.N.Patel College of Engineering, Shahada, India.
Manuscript received on November 15, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on November 30, 2019. | PP: 684-688 | Volume-8 Issue-4, November 2019. | Retrieval Number: C6347098319/2019©BEIESP | DOI: 10.35940/ijrte.C6347.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The aim of economic load dispatch (ELD) is to accomplish the load demand with less fuel cost by the generators. This research shows a new grey wolf-inspired algorithm called the Grey Wolf Optimizer (GWO) to achieve ELD. The GWO algorithm follows mainly the grey wolves hierarchy and hunting scheme. The controlling hierarchy is driven by four wolves, namely alpha, beta, delta, and omega. Three critical phases of hunting are implemented, looking for a target, surrounding a target, and attacking a target. Now, on 20 generating units, the algorithm is used and is equated with Particle Swarm Optimization (PSO). The findings show that, compared to PSO, the GWO algorithm is set to yield economic results.
Keywords: Grey Wolf Optimizer, Particle Swarm Optimization, Economic Load Dispatch, Leadership.
Scope of the Article: Discrete Optimization.