Unit commitment and multi-objective optimal dispatch model for wind-hydro-thermal power system with pumped storage

The establishment of more close to the actual model is helpful to quickly implement energy saving and emission-reduction. The day-ahead multi-objective optimal dispatching model containing thermal power, hydro power, wind-power and pumped storage units is given to minimize the total costs and CO2 emission under multiple constraints. Considered the longer startup-shutdown period of thermal power units, the unit commitment of thermal units is predetermined according to the minimal operation costs. the improved hybrid particle swarm optimization algorithm are used to solved the model for the minimal total costs and carbon emission, the unit commitment of pumped storage and the power generation of thermal power, hydro power, wind-power and pumped storage units are obtained. The verification is performed through modified IEEE 118 node test system, and the optimized results that whether or not containing pumped storage units are compared and analyzed, the applicability of the proposed model and algorithm to solving large-scale multi-objective unit commitment is verified. It could effectively improve economic benefit and environmental protection of power system.