An Effective Reliability Evaluation Method for Power Communication Network Based on Community Structure

Abstract

The reliability evaluation of power communication network is beneficial for the improvement of stable operation of the power system and the robustness of the power grid. However, the existing reliability evaluation models of the power communication network cannot meet the current situation of timeliness performance, due to rapidly increasing scale and complexity of information across varying services. In this study, we used the complex network theory to analyze the structure of power communication network and constructed the evaluation index of node (link) reliability of power communication network based on community reliability. Compared with the traditional reliability indexes, our index not only considers the influence of the environment of the node (link) on the single structure of the power communication network, but also possess the reliability evaluation rate of the node (link), which have the opportunities for improving the performance of the reliability evaluation of the wide-area power communication network. To verify the rationality of the index, we developed random, low reliability and high-betweenness deliberate attacks to attack the designated node (link), and compared the network efficiency before and after the attack. Based on the simulation results, it can verify the rationality and superiority of our proposed evaluation index.

Current Status and Perspective of Vulnerability Assessment of Cyber-Physical Power Systems Based on Complex Network Theory

“…In CPPSs, vulnerability research is a necessity and holds significance as an extension of the concept of system security [25][26][27]. On the one hand, with the continuous expansion of the power grid's scale, its spatial distribution has become increasingly extensive, rendering it challenging to effectively monitor and provide real-time protection.…”

“…Although CPPSs are often studied as a whole, cyber networ have their own distinct characteristics. Therefore, it is common p networks and physical networks separately before investigating ational status of the cyber network directly impacts the state of t it akin to a complex system due to the significant increase in th information across various services [27,67]. Likewise, the power physical operation rules (e.g., Kirchhoff's law) [68] and exhibits a complex system [69,70].…”

Bulletin of the Polish Academy of Sciences: Technical Sciences

“…Take the standardized sequence as the reference sequence for the risk evaluation of manufacturing industry transfer, solve the correlation coefficients in each index data [25,26], and finally realize the evaluation of the risk of manufacturing indus-Fuzzy comprehensive model of manufacturing industry transfer risk based on economic big data analysis try transfer:…”

Power network modeling method based on complex network

“…Zhao C et al proposed a structure based on extended weighted network model, which uses an extended adjacency matrix to represent the extended weighted complex network model based on coupling strength [9] . According to the actual self-organization law of power grid and complex network theory, Lan Mei et al proposed a connection prediction model based on priority connection [10] .Li Q et al used complex network theory to analyze the structure of electric power communication network, and constructed the reliability evaluation index of electric power communication network node (link) based on community reliability [11] .Complex network theory has been widely used in all aspects of power system, but the existing research has the following limitations: the current research has done a lot of work around how to use complex network methods to model and analyze large-scale transmission networks. the related research on power communication network and smart grid mainly uses the information of node current, voltage, power and so on to analyze the network characteristics.…”