Multi-objective unit commitment modeling and optimization for energy-saving and emission reduction in wind power integrated system

It is necessary to cut green house emission and develop energy-saving and emission-reducing generation scheduling. Due to the randomness and fluctuation of wind power generation, the up/down spinning reserve and additional up/down reserve have to be considered in unit commitment. A multi-objective unit commitment model for energy saving and emission reduction in wind power integrated system is presented. Then the decision making model is reached via dimensionless disposal to multiple objectives. A balance point of coal consumption and emission-reducing can be found by adjusting the weight of them. An adaptive cooperative coevolutionary algorithm is developed to solve the optimization problem. Finally, an example is given to show wind power is efficiently integrated, and the energy saving, emission of sulfur and carbon dioxide are synthetically considered. It is environment-protective, economic and secure for the optimization in wind power integrated system.