Day-ahead Scheduling Method Considering Uncertainty of Renewable Energy and Power System Operation Risk

The conventional security constraint unit commitment plan is difficult to adapt to the uncertainty of high proportion of renewable energy output, and is easy to cause risks to the real-time power supply-demand balance and the security of power system operation. Aiming at the requirements of optimization and decision-making for high proportional renewable energy provincial power grid day-ahead scheduling, this paper analyzes the optimization decision-making process of day-ahead scheduling planning considering uncertainties of renewable energy, and proposes a renewable energy output scenario set generation method based on renewable energy power forecast and forecast error probability distribution. A day-ahead stochastic unit commitment optimization model and algorithm considering the uncertainty of renewable energy and power system operation risk is established. The effectiveness and practicability of the proposed method are verified based on the day-ahead actual operation data of a provincial power grid.