A Hybrid Big Bang–Big Crunch optimization algorithm for solving the different economic load dispatch problems

Yacine Labbi () and Djilani Ben Attous ()
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Yacine Labbi: University of Biskra
Djilani Ben Attous: University of El-Oued

International Journal of System Assurance Engineering and Management, 2017, vol. 8, issue 2, No 7, 275-286

Abstract: Abstract In this paper, we applied a Hybrid Big Bang–Big Crunch optimization technique for solving the different types of economic load dispatch (ELD) problems in power systems. Many nonlinear characteristics of the generator, such as ramp rate limits, prohibited operating zone, and non-smooth cost functions are considered using the proposed method in practical generator operation. The proposed method is tested on three different systems (six-unit system considering losses, 15 units: ED considering transmission loss, large system: 40 generating units with valve-point loading effects). Furthermore, results are compared with other optimization approaches proposed in the recent literature, showing the feasibility of this technique to highly nonlinear and different ELD problem.

Keywords: Hybrid Big Bang–Big Crunch; Particle swarm optimization; Hybrid methods; Economic dispatch (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s13198-016-0432-4

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