Research On Simulation Modeling Of Guangzhou Electric Power Integrated Data Network

With the power grid integrated data network becoming more and more complex and diversified,relying on traditional network management tools to monitor the network operation status and try to find faults quickly and other operation and maintenance modes,has not been able to adapt to the development of high-level network operation and maintenance,and urgently needs a scientific means and mode to reflect and predict Network performance,monitoring IP network status.This paper studies the modeling of Guangzhou power integrated data network.Firstly,the data collection,simulation interface,protocol support and data structure are analyzed,and the TNS simplified structure is obtained as the basis.By using the route monitoring technology,the data collection of the data network is carried out in the way of interception to maintain real-time performance It is linked with NS-2 for efficient simulation modeling.In this paper,a network fault analysis algorithm based on frequency fluctuation probability statistics is proposed.Chwa & Hakimi model is derived from the statistical histogram of fault data,and then the data is divided into several groups according to the group division algorithm.Through the confirmation of fault group,Chwa & Hakimi solution is obtained,that is,the specific network fault is obtained.And through the WS small world network model and NW small world network model,the random network structure is dynamically generated.The simulation platform simulates the common network conditions,proves that the simulation platform is real-time and practical,and can effectively optimize the current methods of dealing with integrated data network problems.It can effectively reduce the cost of human and material resources and greatly shorten the period of solving problems.By using the simulation platform,we can also propose a better optimization solution for the operation of the current integrated data network.