Simulation Modeling of Whole-process Material Management of Distribution Network Energy Engineering Based on Markov Algorithm

This paper builds a whole-process management system based on a computer big data algorithm for power system materials. The author uses the Markov algorithm to construct an inventory management model based on demand characteristics, taking the energy engineering material storage of the power distribution network as the research object. Inventory management and scheduling decisions for materials rely entirely on past observations. Finally, this paper conducts a simulation study on the optimization scheme of emergency material dispatching of power systems in areas affected by natural disasters. At the same time, the configuration of the system under various disaster conditions is verified. This paper verifies the effectiveness of this method in improving the scheduling of power resources through the simulation of the Markov method. The whole process management system of power materials proposed in this paper can quickly meet the dynamic management requirements of the power grid and materials.