Research On Information Flow Flexible Technology Of Railway Power Network

ABSTRACT:Railway power network is an important part of modern railway, especially high-speed railway, and safe operation of railway power network depends on high efficiency of dispatching and monitoring information flow.With large-scale construction of high-speed railroad, transformation of automation equipment, and promotion application of IEC61970international standard, railway power network dispatching monitoring system need to study and solve problems, which are as follows:(1) Information quantity of transport and processing becomes increasingly great in common information flow, which causes jams, and need to solve the delay problem.(2) Railway power network information is used for different professional, measurement value is accessed frequently, and require good precision, which are difficulties to operation, reaction progresses slowly and even dead halt, so it is need to solve big data set compressed processing problem.(3) Railway power network is chain structure in general, but including ring structure in local, which has flexible operation mode, so it is need to study rapid topology algorithm, which is strong adaptability, and to solve operation mode monitoring problem.(4) It is need to study interaction and interface information flow for application information of railway power network automated system engineering applications, to improve the interactive efficiency and equipment compatibility, and to resolve the interface integrated problem.Railway power network information is placed in order to common information flow, measurement value access information, operation mode monitoring information flow and interaction interface information flow, and relevant definitions of flexible technology are proposed.Monte Carlo and LHS-MC new ways are used to statistical study for common information flow, which is to found information the probability distributions and the confidence interval of delay time.Cluster variety section compression method is used to study measured value access information flow. Variety section compression method is used for large proportion of compression access; Hadoop cluster and Map/Reduce engine are used for distributed cluster compression, and compression rates is testified by experiment and engineering application.Operation mode monitoring information flow is studied using source-flow chain algorithm, cellular automata algorithm, and graph matrix tracking algorithm. Space complex degrees of source-flow chain algorithm is declined to O(17n), and computing time is declined to ms level; Space complex degrees of cellular automata algorithm is declined to O((2c+4)n), and overcome difficulties of traditional approach; Graph matrix tracking algorithm efficiency is increased about50%and solves polymorphism topology problem.P/S-R callback method and agent alliance method are used to study interaction interface information flow. P/S-R callback method is fused from publish/subscribe and remote method invocation, which reduces processing time enormously for state change; Agent alliance method is looser coupling interaction, which reduces processing time by70%, and solves interfacing inefficient, integration difficulties of railway power network automation system.This technology has been put into use in longhai railway dispatching monitoring system, guojiayao substation monitoring and management system, which have successfully resolved information integrated application, large datasets compression access and operation mode monitoring, and its application effect is good.