Day-ahead dispatch and its fast solution method of power system based on scenario analysis

Under the background of gradual increase in the scale of power system with wind and photovoltaic power, a fast solution method of day-ahead dispatch for power system is proposed based on scenario analysis. Considering the wind and photovoltaic power at different times are of significant correlation, a large number of original scenarios with time correlation are generated based on multivariate normal distribution and Monte Carlo sampling. An improved k-means clustering algorithm is used to pre-classify the original scenarios, and the simultaneous backward reduction algorithm based on Kantorovich probability distance is adopted to reduce the processed scenarios, which reduces the calculation time of scenario analysis. A day-ahead optimal dispatch model of power system based on scenario analysis is established. In order to improve the solution efficiency of the model, the boundary scenarios containing predicted error vector information of wind and photovoltaic power are introduced, the reserve capacity constraints of upper and lower boundary scenarios are considered in the dispatch model, and an optimal dispatch model considering the reserve capacity constraints of boundary scenarios is established. The measured data of a provincial power grid is taken for simulation and analysis, verifying the effectiveness of the proposed model and method. © 2022 Electric Power Automation Equipment Press. All rights reserved.