Gbest artificial bee colony for non-convex optimal economic dispatch in power generation

• Main Authors: Abdullah, M. N., Manan, A. F. A., Jamian, J. J., Jumaat, S. A., Radzi, N. H.
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science 2018
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/84335/1/JasrulJamaniJamian2018_GbestArtificialBeeColonyforNonConvex.pdf; http://eprints.utm.my/id/eprint/84335/; http://dx.doi.org/10.11591/ijeecs.v11.i1.pp187-194
• Institution: Universiti Teknologi Malaysia

Non-convex Optimal Economic Dispatch (OED) problem is a complex optimization problem in power system operation that must be optimized economically to meet the power demand and system constraints. The non-convex OED is due to the generator characteristic such as prohibited operation zones, valve point effects (VPE) or multiple fuel options. This paper proposes a Gbest Artificial Bee Colony (GABC) algorithm based on global best particle (gbest) guided of Particle Swarm Optimization (PSO) inArtificial bee colony (ABC) algorithm for solving non-convex OED with VPE. In order to investigate the effectiveness and performance of GABC algorithm, the IEEE 14-bus 5 unit generators and IEEE 30-bus 6 unitgenerators test systems are considered. The comparison of optimal solution, convergence characteristic and robustness are also highlighted to reveal the advantages of GABC. Moreover, the optimal results obtained by proposed GABC are compared with other reported results of meta-heuristic algorithms. It found that the GABC capable to obtain lowest cost as compared to others. Thus, it has great potential to be implemented in different types of power system optimization problem.