Day-Ahead Optimal Dispatching of Wind-Solar-Hydro-Thermal Combined Power System with Pumped-Storage Hydropower Integration

In this paper, a day-ahead wind-solar-hydro-thermal coordinating optimal dispatch with pumped-storage hydropower integration is analyzed in order to make full utilization of renewable energy and reduce the energy consumption of thermal power. A chance constrained programming method is used to tackle the uncertainties of wind and solar power. A mathematical model of cascade hydropower system with pumped storage is proposed. A day-ahead wind-solar-hydro-thermal optimal scheduling model considering pumped-storage hydropower integration is established to utilize the regulation capacity of pumped-storage and reduce the fuel cost. The coordinating optimal dispatch model is solved by a improved heuristic algorithm according to decomposition theory. The proposed model and method is tested in numerical simulation.