Optimal dispatching strategy for power emergency supplies distribution considering the cooperation of supply reserve points

Power accidents in extreme conditions have seriously threatened the safe operation of the power system. Therefore, the research on optimal dispatching strategy for power emergency supplies in extreme conditions is the focus of power companies. According to the strong timeliness and weak economy of extreme conditions, this paper puts forward a two-layer optimization model of power emergency supplies distribution: according to the reserve and demand of supplies supply point and distribution point, an optimal dispatching model of power emergency supplies is put forward at the bottom level considering the time factor. At the same time, considering the time sequence evolution of extreme conditions, the optimal dispatching model of power emergency supplies is proposed to ensure that the power emergency supplies can still meet the demand after the extreme conditions deteriorate. Finally, the comprehensive learning particle swarm optimization algorithm is used to solve the problem, and the example results show that the model is effective and reasonable.