Research On The Dual Network Coupling Model Of Power System And Risk Of The Network

With the continuous deepening of the integration of power network and communication network,the traditional communication network risk assessment model has been unable to meet the needs of the development of dual-network coupling network.It is particularly important to study the structural characteristics of the power communication coupling network and analyze the risks of the power communication network based on the dual-network coupling network.The safe and reliable operation of the power grid is the foundation of the existence of the communication network.Therefore,it is necessary to conduct a reasonable and scientific research on the importance of the power grid nodes.Based on the analysis of existing related work,this paper mainly conducts in-depth research on the identification of key nodes of the power grid,the establishment of a dual-network coupling model,and the evaluation and control of network risks.In order to effectively calculate the importance of nodes in the power network and provide a data basis for subsequent power communication network risk research,this paper proposes a key node identification algorithm(ETPD-CNIA)that considers topological structure and power flow distribution.Based on the line interruption power distribution factor,a node interaction model is proposed.The model is introduced into the PageRank algorithm.The importance of the nodes based on the network electrical topology and the importance of the power flow distribution based on the example are fully considered.What’s more,the PageRank algorithm is used for fusion to achieve Effective identification of key nodes in the power system.The simulation analysis on IEEE39-node system and IEEE118-node system is carried out and compared with the existing methods.It is proved that the proposed method is effective in identifying key nodes in the power grid and further contributes to the safety and stability control and risk assessment of the power system.The existing communication network risk assessment lacks the research on the other side network.For the reason,this paper proposes a risk assessment method for power communication nodes based on the dual-network coupling model.First,this paper comprehensively consider the importance of node topology and the size of service traffic,which determine the weight of the two with an adaptive coefficient.Then we propose an identification algorithm for the key nodes of a single-sided power communication network.Afterwards,a dual network coupling model is established based on the degree of carrying capacity of the communication network nodes to the power business.Finally,combined with the power key node identification algorithm,a comprehensive and comprehensive power communication node risk assessment model based on the dual-network coupling model is constructed.Through simulation,the rationality of the risk assessment of power communication nodes is verified.Based on the risk distribution of power communication nodes,a route optimization method is proposed to achieve the goal of risk balance in the power communication network.Based on the risk of the power communication network node,the link is weighted.In the weighted network,the shortest path algorithm is used to select the service route to avoid the too high risk of some nodes.Through simulation and comparison of the network risk balance and standard deviation before and after the routing optimization,the correctness of the proposed routing optimization method is verified.In addition,it can provide a theoretical reference for the security and stability control of the power communication network.