Coordinated rolling dispatch of wind and thermal power considering forecasting error

In the background of large-scale wind power integrated into power system, a rolling optimal dispatch model for power system is built based on the chance-constrained dependent chance goal programming. Considering the influence of wind power forecasting error on power balance equations of dispatch model, a power balance model is established based on dependent chance programming, which transforms the power balance equality constraints into an objective function of maximizing the occurrence probability of random events. Considering the characteristics of near small but far big of wind power forecasting error, the confidence levels of chance-constrained conditions of system spinning reserve capacity at different moments are determined, and a rolling dispatch mode of section AⅢ→ BⅡ→ CⅠ is designed with multiple coverage and successive modification. In order to solve the model fast, the goal programming is introduced to transform the multi-objective optimization model into a single-objective optimization model. The case simulation verifies the effectiveness of the proposed model. The proposed model can adjust in advance according to the wind power and load condition of a long period in the future, which improves the consumption ability of renewable energy. © 2020, Electric Power Automation Equipment Press. All right reserved.