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Dr. Samir Mohamed Abdelmaksoud :: Publications:

Title:
Dynamic Economic Load Dispatch oe Thermal Power System Using Genetic Algorithm
Authors: W.M.Mansour, M.M.Salama, S.M. Abdelmaksoud, H.A. Henry
Year: 2013
Keywords: Economic load dispatch; Ramp rate limits; Particle swarm optimization; Genetic algorithm
Journal: ESTIJ
Volume: 3
Issue: 2 April 2013
Pages: 345-352
Publisher: IRACST
Local/International: International
Paper Link:
Full paper samir mohamed abdelmaksoud_19vol3no2.pdf
Supplementary materials Not Available
Abstract:

Abstract—Economic Load Dispatch (ELD) problem is one of the most important problems to be solved in the operation and planning of a power system. The main objective of the economic load dispatch problem is to determine the optimal schedule of output powers of all generating units so as to meet the required load demand at minimum operating cost while satisfying system equality and inequality constraints. This paper presents an application of Genetic Algorithm (GA) for solving the ELD problem to find the global or near global optimum dispatch solution. The proposed approach has been evaluated on 26-bus, 6-unit system with considering the generator constraints, ramp rate limits and transmission line losses. The obtained results of the proposed method are compared with those obtained from the conventional lambda iteration method and Particle Swarm Optimization (PSO) Technique. The results show that the proposed approach is feasible and efficient

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