A Comparative Study of Meta-heuristics Algorithms in evaluation of Economic Load Dispatch Problems in Power Generating Station with Matlab Codes

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Title:	A Comparative Study of Meta-heuristics Algorithms in evaluation of Economic Load Dispatch Problems in Power Generating Station with Matlab Codes
Authors:	Osaremwinda, O. P. Nwohu, M. N. Kolo, J. G.
Keywords:	Economic Load Dispatch (ELD) Ant Colony Search Algorithms (ACSA) Particle Swarm Optimization (PSO) MATLAB codes
Issue Date:	2017
Publisher:	Journal of Electrical & Electronic Systems
Citation:	Osaremwinda O. P., Nwohu M. N., Kolo J. G. (2017) A Comparative Study of Meta-heuristics Algorithms in evaluation of Economic Load Dispatch Problems in Power Generating Station with Matlab Codes. Journal of Electrical & Electronic Systems 6(4): 245. http://dx.doi.org/10.4172/2332-0796.1000245
Series/Report no.:	Vol. 6, No. 4;
Abstract:	This paper presents a comparative study of metaheuristics algorithms in evaluation of economic load dispatch problem in power generating station with MATLAB codes. In this paper, the formulation of the ELD problems using mathematical illustrations and MATLAB codes were presented. This consists of the ELD cost model, Model calculations, cost function and parse solution. It also presents the application of some metaheuristics algorithms (solution algorithms) such as ACSA and PSO in solving ELD problem with MATLAB codes. The ELD problem was modeling using Egbin thermal power station, Nigeria as our case study.
URI:	http://repository.futminna.edu.ng:8080/jspui/handle/123456789/7476
Appears in Collections:	Electrical/Electronic Engineering

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