| From the generation to the end user,the power has experienced the functions of transmission,transmission,transformation,distribution,and use.As the last high-voltage link for users in all aspects of power transmission,the network structure and automation level of the distribution network will directly affect the power supply of users.Reliability and power quality.With the development of information technology,communication technology,automation technology and other technologies,the current direction of power grid development has gradually turned to the intelligentization and automation of distribution networks.The intelligent distribution network has the characteristics and requirements of high efficiency and self-healing,especially the self-healing of the intelligent distribution network is the research focus of the safe operation of the power grid.At present,most of the distribution network self-healing functions are research on fault location and fault recovery algorithms and frameworks for self-healing of distribution networks.Based on the research status of the self-healing function of the distribution network and the basic situation of the distribution automation system,this paper focuses on the self-healing function of the feeder automation and carries out the application research of the feeder automatic self-healing system.This paper firstly studies the basic theory and system status of distribution automation system,analyzes the main components and functional framework of distribution automation system in detail,and analyzes the self-healing concentration of feeders based on the functional application of distribution automation system.The characteristics and advantages of the two modes of mode and distribution,and the current situation of power supply companies,selected centralized self-healing as the research object.Secondly,the fault location,fault isolation and fault recovery methods of distribution network are studied.The objective function and constraints are clarified.At the same time,according to the actual production experience,the strategy of self-healing of feeder automation is further optimized.Double insurance mechanism and delay are considered in the starting conditions.The mechanism ensures the accuracy of self-healing startup,and establishes the whole process self-healing process including fault location,fault type determination,fault isolation and fault recovery,and its logic method.At the same time,in order to ensure the accuracy of self-healing action,the terminal fault is fully considered.,communication failures,maintenance work,combined operation,and other conditions,the study identified 10 types of safety lockout conditions self-healing malfunction.Based on the starting conditions,action flow and safety blocking conditions,a practical and comprehensive system of feeder self-healing strategy is proposed to provide self-healing and accurate action.Thirdly,based on the actual situation of the distribution network automation system and the main network dispatching automation system used by the enterprise,in order to ensure the automation of the self-healing process of the feeder automation,the main automatic matching feeder automatic self-healing function,system architecture and technical solution are designed.Meet functional requirements and network security requirements.A thorough test guarantee for the deployed feeder automation self-healing system was carried out,and the effectiveness of the function was demonstrated in combination with actual cases.The practical application and actual cases of the feeder automatic self-healing system show that the system can greatly reduce the average power outage time of the users,improve the reliability of power supply,and reduce manpower,greatly improving the automation level of the distribution network.Finally,according to the actual use of the function,the post-evaluation of the automatic self-healing function of the feeder line in the event of a failure of the distribution network verifies the effectiveness of the function and proposes the prospect and plan for the next step. |