A HYBRID APPROACHES FOR THE PROFIT BASED UNIT COMMITMENT PROBLEM IN THE DERUGULATED MARKETS
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In this paper, two hybrid model between Lagrange Relaxation (LR), Evolutionary Programming (EP) and Lagrange Relaxation (LR), particle swarm optimization (PSO) are used to solve profit based unit commitment problem in a deregulated electricity market. Because of the revolution of power system structure nowadays, operation and control of generating unit must be modified.Energy price becomes an important parameter to make a decision in this restructured system.Unit commitment (UC) in such a competitive environment is not the same as the traditional one any more. The objective of UC is not to minimize production cost as before but to find the solution that produces a maximum profit for generation company (GENCO).This paper also presents a simulated case study for a generation company and demonstrates the effectiveness of the proposed approaches.