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Grey wolf optimization applied to economic load dispatch problems
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DOI：10.1016/j.ijepes.2016.04.034.png)
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This article presents a new evolutionary optimization approach named grey wolf optimization (GWO), which is based on the behaviour of grey wolves, for the optimal operating strategy of economic load dispatch (ELD). Nonlinear characteristics of generators like ramp rate limits, valve point discontinuities and prohibited operating zones are considered in the problem. GWO method does not require any information about the gradient of the objective function, while searching for an optimum solution. The GWO algorithm concept, appears to be a robust and reliable optimization algorithm is applied to the nonlinear ELD problems. The proposed algorithm is implemented and tested on four test systems having 10, 40, 80 and 140 units. The results confirm the potential and effectiveness of the proposed algorithm compared to various other methods available in the literature. The outcome is very encouraging and proves that the GWO is a very effective optimization technique for solving various ELD problems. (C) 2016 Elsevier Ltd. All rights reserved.
Keyword:
Grey wolf optimization
Evolutionary algorithm
Economic load dispatch
Valve point loading
Prohibited zone
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期刊
I
IF:
5
论文数:
1.1W
被引数:
3.1W
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Non-smooth economic dispatch computation by fuzzy and self adaptive particle swarm optimization
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