Research on Economic Dispatch Optimization Model of Small Hydropower Group Considering Power Supply Cost

Abstract

Due to the large number of scattered small hydropower, disordered grid connection, unplanned power generation, and old equipment overvoltage, etc. It has brought great challenges to the power supply security of Sichuan Power Grid. Aiming at the minimum system power supply cost, the economic dispatch optimization of small hydropower groups within the system is realized. The nonlinear mixed integer 0-1 programming is solved by adaptive simulated annealing genetic algorithm. The results show that the total cost of power generation after the optimized power generation plan. It is lower than the cost of all the power stations in the flood season, further indicating that the scheduling optimization can effectively reduce the system power supply cost, and guide the Ya'an small hydropower group. Economic dispatch is of great significance.