Vol. 161, Issue 12, December 2013, pp. 247-252

Abstract: In this paper, we have proposed a new Hybrid Selection Clone Immune Model for Unit Commitment problems. The accessible capacity of wind power and the risk of lacking peak regulation capacity are proposed to evaluate Unit Commitment problems. Based on the evaluation functions, the optimization of Unit Commitment problems is translated into constraints multi-objective optimization problem. These objectives are modeled with Hybrid Selection Clone Immune method to evaluate their imprecise nature. The model and algorithms are applied to calculate a case of 10 units. The results show that the proposed modeling method can provide a useful guidance for Unit Commitment problems. It is show that the system needs to have more spinning reserve and increase the peak regulation capacity of each time period. The increase of discarded wind power can effectively decrease the system risk.

Keywords: Unit Commitment, Wind power accommodation, System risks, Hybrid selection clone.

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