Method for solving unit commitment of wind-fire energy storing-saving and emission-reducing unit

The invention discloses a method for solving unit commitment of wind-fire energy storing-saving and emission-reducing unit. A decomposition-coordination thought is adopted, the unit commitment of a wind-fire power storage system is decomposed into an upper and lower layer optimization problem, the wind-fire power storage system is decomposed into fire power subsystems, wind power subsystems and water pumping energy-storing subsystems by using Lagrangian relaxation, and each subsystem is coordinated by using a self-adaptive Lagrange multiplier on an upper layer; each subsystem on a lower layer is solved by using a self-adaptive genetic algorithm. An entire optimization process comprises the following steps: determining the outputs of the wind power subsystems and the outputs of the water pumping energy-storing subsystems as well as spinning reserve which can be provided by the water pumping energy-storing subsystems according to a load curve; transmitting obtained results to the fire power subsystems respectively; coordinating and allocating in parallel on the basis by using each fire power subsystem to determine corresponding start-stop sequences and optimal outputs. According to the method, the wind power fan stop, the peak-shaving energy consumption of fire power units and the running cost can be reduced effectively, and the safety, robustness and energy saving and emission reducing capabilities of the system are further improved.