Optimal Configuration of Wind Turbine and Photovoltaic Based on Day-ahead Economic Dispatch

Abstract

With the gradual increase of the penetration rate of wind and photovoltaic (PV) electricity, the power system is facing great challenges in integration and peak-shaving capacity. As flexibility resources of the system is limited, wind and PV power generation will not be consumed completely. Allowing the curtailment of the peak output of wind turbine and PV can reduce the cost of auxiliary services such as peak-shaving, relieve the huge pressure in the operation and planning of the system, and improve the overall power supply economy of the system. Firstly, the reason and optimization principle of the curtailment of the peak output of wind turbine and PV are explained. Then, a capacity optimal configuration method of power supply based on day-ahead economic dispatch is proposed. On the premise of allowing the curtailment of the peak output of wind turbine and PV, the corresponding annual power supply cost of wind turbine and PV capacity combination is calculated based on day-ahead unit commitment. The function fitting between power supply cost and wind turbine capacity is carried out. The best wind turbine and PV capacity combination is the value of the extreme point. Finally, the sensitivity analysis of example system is carried out. It is found that with the decrease of unit investment cost of wind turbine and PV equipment, developing wind and PV power generation will be a more economical choice in the future.