Research On Optimization Of Power Grid Emergency Supplies Distribution Route Under The Internet Of Things In Electricity

As our country has moved from a strong smart grid to the current power Internet of Things,my country’s power grid has been upgraded year by year.and the coverage of the power grid has gradually expanded,and the possibility of the power grid being exposed to risks has also increased.Since risks exist objectively,how to ensure the timely supply of emergency supplies to the power grid in the event of a power emergency,repair the power supply line failures in the shortest possible time and save costs as much as possible,and restore the normal operation of the power supply system.Emergency rescue work is of great significance.With the continuous application of modern information technologies such as the new generation of mobile internet,artificial intelligence,and advanced communication technologies in the power grid,when a power grid failure occurs,power grid companies can understand and master the details of the grid accident in a short period of time and do so quickly and promptly.For emergency response,you can also rely on power Internet of Things information and cooperate with drones,smart line patrols and other equipment to obtain power grid-related information and status in the disaster area.In this context,this article studies the distribution of emergency supplies in the power grid.The main research content includes the following aspects:(1)Summarize the research on domestic and foreign emergency supplies and power emergency supplies distribution,introduce the theoretical basis and solution algorithm for the construction of the multi-objective optimization model of the power grid emergency supplies distribution path,and the demand for power Internet of Things and power grid emergency supplies The characteristics,distribution methods and related theories of power grid emergency logistics are sorted out.and the related theoretical basis of power grid emergency material distribution research is introduced.(2)The urgency evaluation and ranking model of power grid emergency material demand points based on the analytic hierarchy process is proposed.Firstly,an indicator system was constructed based on the relevant elements of the urgency of the emergency material demand of the power grid,and then the urgency of the emergency material demand point of the power grid was evaluated by the analytic hierarchy process,and the order of the urgency of the emergency material demand of the power grid was obtained.The optimization of the distribution path of emergency supplies in the power grid provides a basis for decision-making.(3)Constructed an optimization model for the distribution path of power grid emergency supplies under the power of Internet of Things.Considering the characteristics of power grid emergency material distribution comprehensively,the objective function is to consider the dual objective function that minimizes the total delivery delay time of power grid emergency materials and the minimum average unsatisfied rate of power grid emergency materials failure demand points.In the disaster relief process,combined with the real-time road repair information pro vided by the Power Internet of Things and the environmental information of the area where the fault is located as the constraint conditions of the distribution path,a multi-objective distribution path optimization model is constructed,and the combination of genetic algorithm and simulated annealing algorithm is proposed.The hybrid model solving algorithm.