With the proposal of the "dual carbon" goal in China,the widespread application of large-scale new energy access and high-power electrical equipment such as electric vehicles and electric heating,the demand for digital intelligence in electric power systems has gradually increased,and the supporting role of electric power communication networks has become increasingly prominent.Ensuring their safety is increasingly crucial to the stable operation of electric power systems.Electric power communication networks have strong scale-free characteristics and small world characteristics.Most traditional vulnerability analysis methods take sites and links as the smallest research units,but the aggregation of different regions of the network varies,with significant community structures.Taking communities as units can more objectively analyze network vulnerability.Therefore,this paper conducts research on non weighted power communication networks and power communication weighted networks considering link service risks.It analyzes the influence of different communities in the network from the perspective of topology and link service risks,constructs vulnerability assessment indicators for power communication networks,and analyzes the impact of different communities on network survivability.The main contributions are as follows:For non weighted power communication networks,this paper proposes a multi index fusion based vulnerability assessment method for power communication networks.Firstly,a non weighted network community partitioning algorithm is used to partition the network;Secondly,consider and construct community impact indicators from both local and global impacts of the community;Then,using nonlinear functions,we construct vulnerability assessment indicators for power communication networks,and analyze the sensitivity of different indicators to network vulnerability assessment results;Finally,the impact of different communities on network survivability in an actual power communication network is analyzed,and simulation results verify that the proposed method can more accurately analyze the vulnerability of power communication networks.For power communication weighted networks based on link traffic risk,this paper proposes a vulnerability assessment method for power communication weighted networks based on Tsallis entropy.Firstly,the importance of link carrying services and the expected probability of link failures are studied,and a weighted power communication network is constructed.The network is divided by a weighted network community division algorithm;Secondly,construct weighted network community impact indicators from both community connectivity and community complexity;Then,the various impact indicators are fused to construct weighted network vulnerability assessment indicators for power communication,and the sensitivity of each indicator to the network vulnerability assessment results is analyzed;Finally,the link risk of an actual power communication network and the impact of different communities on network survivability are analyzed,verifying that the proposed method can more accurately analyze the vulnerability of power communication weighted networks. |