An Efficient Chaotic Cuckoo Search Framework for Solving Non-Convex Optimal Power Flow Problem

Abstract:

The optimal power flow (OPF) problem is a very complicated task in power systems. OPF problem has a set of equality and inequality constraints. This paper looks at a chaotic cuckoo search (CCS) algorithm for solving non-convex OPF problem. The proposed CCS is a bio-inspired optimization calculation that is inspired by the behaviour of cuckoos people in nature. The chaotic guide is a variation of qualities combined with CS. A sinusoidal chaotic is integrated with CS algorithm and tested on standard IEEE 30-bus test system to the point of improving its global speed of convergence and enhancing its performance. The elitism scheme is also serves to save the best cuckoo during amid the procedure when updating the cuckoo. The results show clearly the superiority of CCS in searching for the best function values results when compared with well-known metaheuristic search algorithms.

• Periodical: International Journal of Engineering Research in Africa (Volume 33)
• Pages: 84-99
• DOI: https://doi.org/10.4028/www.scientific.net/JERA.33.84
• Online since: November 2017
• Authors: Bentouati Bachir*, Chettih Saliha, Rabah Djekidel, Ragab Abdelaziz El-Sehiemy
• Keywords: Chaotic Maps, Cuckoo Search, Optimal Power Flow, Valve-Point Effect

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