Research On Self-healing Reconstruction Scheme Of Hub Traction Power Supply System

With the vigorous development of China’s railway construction,the number of electrified railway lines continues to increase,and different railway lines are intersecting to form railway hubs.The traction substation in the hub area undertakes the task of supplying power to multiple lines.It has the characteristics of complex network structure,large number of feeders,multilevel switching stations and so on.Therefore,once the traction substation of the hub fails,it may lead to large-scale power loss and complex power supply restoration scheme.However,the existing relay protection and self-healing reconstruction system is difficult to meet the needs of railway power supply development.Therefore,this paper studies the self-healing reconstruction scheme of the hub traction power supply system,then isolating the failure equipment and restoring the power supply in the non-faulty area as soon as possible,which is of great significance to reduce the loss of power failure and improve the reliability and safety of railway operation.Based on the current research on the self-healing reconstruction technology of traction power supply system and artificial intelligence calculation,this paper proposes a self-healing reconstruction method of hub traction power supply system based on genetic algorithm.The main research contents are as follows:Firstly,the self-healing and reconstruction function of traction power supply system is divided into self-healing control and reconstruction and recovery modes.The network structure characteristics of traction power supply system and the characteristics of self-healing and reconstruction realization process are described.The faults of traction power supply system and relay protection measures taken by the traction power supply system are analyzed.The network architecture and work flow of the self-healing reconstruction system of traction power supply in the hub are clarified,and the self-healing reconstruction measures under different faults are summarized.Secondly,the electrical network structure diagram of the hub traction power supply system is abstractly equivalent to a node-edge model by using graph theory.The breadth-first search algorithm is used to analyze the topology of the network structure of the hub traction power supply system under the fault state,and the equivalent node-boundary switch model is formed by combining the connected component nodes.Then,according to the requirements of the reconstruction and restoration of the traction power supply system of the hub,a reconstruction and restoration mathematical model is established to maximize the number of restored nodes and minimize the number of switching operations.Genetic algorithm was applied to solve the reconstruction and recovery scheme of the traction power supply system of the hub,and the chromosome encoding mode,initial population generation mode,fitness function calculation mode and genetic operation mode were established respectively.At the same time,a library of operation rules for inference switch operation sequence is established.Finally,the electrical equipment parameter database and dynamic database containing fault information and relay protection action information are established by Access 2016 software to simulate the information collection process of traction power supply protection measurement and control system.The network topology analysis module and genetic algorithm module of the hub traction power supply system based on Python 3.0 are developed to verify the correctness of the reconstruction and recovery method.