Research on Resource Optimization Model of Power System Based on Flexible Supply Demand Balance

This study proposes a power system resource optimization model based on flexible supply-demand balance, aiming to achieve supply-demand balance in the power system through efficient scheduling of flexible resources. The model architecture includes three major modules: supply and demand side resource scheduling, flexible resource allocation, and dynamic feedback and adjustment. By introducing mixed integer linear programming(MILP) and second-order cone programming(SOCP) models, combined with dynamic programming, robust optimization, and scenario generation stochastic optimization methods, precise modeling and optimization of renewable energy, energy storage systems, and load side resources were carried out. The simulation results show that the proposed model can effectively improve the achievement rate of supply-demand balance and the utilization rate of flexible resources in different scenarios, and ensure system stability under extreme conditions.