A Wind-Solar-CSP Complementary Real-Time Control Decision-Making Method with Future Trend Consideration

Wind and solar power generation, as well as the entire power system, are accompanied by randomness and fluctuations. With the continuous improvement of renewable energy forecasting accuracy, in the process of grid operation, online real-time optimization with further trend consideration can provide relatively reasonable real-time instructions based on the trend of renewable energy changes. This paper gives the adjustable space of CSP between adjacent time points according to ultra-short-term wind and solar forecasting and the active power regulation rate of CSP. By discretizing the adjustable space, different combinations of active power of power plants are obtained in each time point. From the set of power plant combinations that simultaneously satisfy all constraints of real-time power generation control optimization decisions, the power plant combination with the weighted optimal objective function value alone is selected as the coordinated optimization decision result for real-time power generation control, and instructions are issued to solve the problem of prediction correction and rolling optimization caused by the sharp increase in random factors in grid operation, and improve the decision accuracy of real-time power generation control.