Research On Decentralized Power Supply Emergency Repair Service Scheduling And Evaluation System Based On Blockchain

In recent years,power grid companies have incorporated blockchain technology into the energy Internet technology framework,requiring faster advancement in diversified business innovation and application.At the same time,with the expansion of the scale of the distribution network and the increase of social power load,the risk of failure of the distribution network Greatly improved,the research on the emergency repair work becomes more and more important.Blockchain technology has the characteristics of decentralization,traceability and anti-tampering,which is especially suitable for the emergency repair scenarios of the distribution network with the participation of multiple entities.At the same time,the value mining of customer evaluation data is also beneficial to the power grid company to improve users Experience.Therefore,the emergency repair service scheduling and evaluation system based on blockchain is a key issue that needs to be studied urgently.This paper takes the emergency repair service dispatching and evaluation system as the research object,relying on the emergency repair data of the distribution network,researches the evaluation and scheduling problems of the emergency repair of the distribution network,and explores a design scheme of the dispatching system for the emergency repair of the distribution network based on the blockchain.First of all,in response to the business evaluation of the emergency repair team,combined with the historical data of the distribution network emergency repair and the distribution network emergency repair service guidance document,the evaluation index system of the emergency repair team’s business level is constructed.The XGBoost model is adopted and the6 index data sets are used as input and output The evaluation result of the service quality of the emergency repair team.Test the model to verify its evaluation effect,and rank the characteristic values of the evaluation indicators of the service quality of the emergency repair team.Aiming at the dispatching strategy for emergency repairs in distribution networks,first select the optimal number of neurons in the hidden layer of the GA-BP neural network to ensure the accuracy of the prediction,and then use the GA-BP neural network algorithm to repair a specific fault.The time required for emergency repairs is predicted,and the evaluation results of the emergency repair team’s business capabilities and the difficulty of repairing faults in different types of distribution networks are used as inputs to obtain the time required for emergency repairs.Next,an emergency repair scheduling model based on multi-fault clustering is proposed,with the maximum recovery load and the shortest repair time as the objective function,and the modified IEEE34 node is used for testing to verify the feasibility and rationality of the scheduling strategy.Aiming at the design of the distribution network emergency repair dispatching system based on blockchain,firstly,the system requirements and the applicability of blockchain technology are analyzed,and a hierarchical blockchain framework is constructed.According to the timing characteristics of emergency repair dispatching,a system based on Block data structure of singly linked list.Then studied the business logic of the system from the perspective of smart contracts,and proposed an improved Tendermint consensus algorithm for the fault emergency repair scheduling system.Finally,combined with the Py Charm platform,Tendermint architecture and Ant Design Pro component library,a web page was designed to show the emergency repair of the distribution network.Business scheduling and evaluation status.