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Unit commitment optimization with pricing support for ultra-low emissions: A multi-objective approach

Economy, reliability and environmental friendly are primary goals when modeling modern unit commitment problems. In this study, we establish a multi-objective unit commitment model considering the above objectives. In particular, the pricing support for ultra-low emissions is addressed together with startup/shutdown, generation and environment concerns when calculating the operation cost of thermal units, which conforms the present situation of power markets, especially in China. To solve the complicated nonlinear model, a multi-objective particle swarm optimization algorithm is developed. Finally, a series of experiments were performed on a modified 26-thermal-unit test system, which demonstrates the superiority of this research.