| Title: | W.M. MANSOUR, M.M. SALAMA, S.M. ABDELMAKSOUD, H.A. HENRY, "Dynamic Economic Load Dispatch of Thermal Power System Using Genetic Algorithm", International Journal of Electrical and Power Eng. 6 (5 - 6) : 140 - 148, 2012, ISSN: 1990 - 7958, Medwell Journals, 2012, pp. 140 - 148.
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| Authors: | W.M. MANSOUR, M.M. SALAMA, S.M. ABDELMAKSOUD, H.A. HENRY W.M. MANSOUR, M.M. SALAMA, S.M. ABDELMAKSOUD, H.A. HENRY W.M. MANSOUR, M.M. SALAMA, S.M. ABDELMAKSOUD, H.A. HENRY W.M. MANSOUR, M.M. SALAMA, S.M. ABD |
| Year: | 2012 |
| Keywords: | Economic Load Dispatch, Particle Swarm Optimization, Genetic Algorithm Ramp Rate Limits. |
| Journal: | International Journal of Electrical and Power Eng. 6 (5 - 6) : 140 - 148, 2012, ISSN: 1990 - 7958, Medwell Journals, |
| Volume: | . 6 (5 - 6) : 140 - 148, 2012, ISSN: 1990 - 7958, Medwell Journals |
| Issue: | Not Available |
| Pages: | pp. 140 - 148. |
| Publisher: | Not Available |
| Local/International: | International |
| Paper Link: | Not Available |
| Full paper | Mohamed Moenes Mohamed Salama _p Hany 2 M Medwell D E L D of Thermal P S using GA.pdf |
| Supplementary materials | Not Available |
| 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 ELD 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. |
