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Evolutionary Programming Based Hydrothermal Commitment Scheduling for Maximizing the Profit of GENCO Considering the Effect of Reserve in a Deregulated Energy Market
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Abstract
A new method for solving profit based hydrothermal scheduling in a deregulated energy scenario is proposed in this paper. The objective of hydrothermal scheduling is to minimize the total cost of the fuel taking into considerations of both steam and hydraulic constraints. The proposed method proves to provide the most optimal scheduling for generating companies (GENCO) by considering generated power and reserve generation. Here, the thermal power to be generated is calculated by subtracting the hydro power from load demands for various periods. The Unit Commitment (UC) is performed for thermal units so that on/off status of generating units in a power systems are obtained by taking into consideration the generated power and reserve constraints of the generating units. In traditional unit commitment problem, the objective is minimizing the total fuel cost satisfying the constraints along with it. But due to the revolution in restructuring of power market, the objective of unit commitment problem has taken a new formulation to emphasize its importance in profit without considering social benefit. This paper proposes Evolutionary Programming (EP) technique for hydrothermal scheduling for three thermal and four hydro units. It explains how the GENCO must sell the generated power in a deregulated environment and how generators are to be scheduled to yield maximum profit. The proposed approach shows the improved effectiveness of its methodology as compared to the existing method.
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References
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