HYBRID GENETIC ALGORITHM FOR OPTIMIZING ENVIRON-MENTAL/ECONOMIC POWER DISPATCH | ||||
| JES. Journal of Engineering Sciences | ||||
| Article 9, Volume 38, No 3, May and June 2010, Page 735-747 PDF (273.13 K) | ||||
| Document Type: Research Paper | ||||
| DOI: 10.21608/jesaun.2010.124394 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Adel A. Elbaset | ||||
| Electrical Engineering Dept., Minia University, Faculty of Engineering, 61517 EGYPT | ||||
| Abstract | ||||
| The conventional economic power dispatch is a non-linear optimization problem with several constraints. The environmental issues concerning the pollutant emissions produced by fossil based thermal generating units became a matter of concern in recent years. Accordingly, minimization of emissions by dispatch of power generation is very desira7. Settling chamberble. The problem is how to supply all electrical loads at minimum cost taking the environmental issues into account (minimum pollution). Environmental/Economic dispatch is a multi-objective problem treats economic and pollutant emissions. This multi-objective problem is converted into single objective function using a modified price penalty factor approach to calculate environmental /economic power dispatch problem. A com-monly used technique to solve this problem is to apply genetic algorithm to a small number of generations to get near optimum economic solution for the power system dispatch. This paper presents an application of hybrid genetic algorithm (HGA) to achieve an optimal solution for the Combined Economic Emission Dispatch problem (CEED). The optimum solution obtained by the proposed technique is faster and more efficient than that obtained by using both the Conventional Optimization methods (CM) and simple Genetic Algorithm (GA). The proposed algorithm is tested on standard IEEE 30-bus model system. | ||||
| Keywords | ||||
| Optimization; GA; HGA; power Dispatch | ||||
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