Visible to the public Vulnerability Assessment Method for Cyber Physical Power System Considering Node Heterogeneity

TitleVulnerability Assessment Method for Cyber Physical Power System Considering Node Heterogeneity
Publication TypeConference Paper
Year of Publication2018
AuthorsWang, Bo, Wang, Xunting
Conference Name2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)
Keywordscommunication network, Communication networks, complex network theory, complex networks, composability, cyber physical power system, different weighting factor, Dispatching, distributed system, Entropy, equilibrium, heterogeneity evaluation index system, hierarchical CPPS model, hierarchical system, Indexes, island survivability, islanding survivability, Metrics, network structure, network theory (graphs), node heterogeneity, power engineering computing, power flow, power grid, power grid vulnerability analysis, power grids, power system faults, Power system protection, pubcrawl, resilience, Resiliency, short-term operation, vulnerability assessment, vulnerability assessment method
AbstractIn order to make up for the shortcomings of traditional evaluation methods neglecting node difference, a vulnerability assessment method considering node heterogeneity for cyber physical power system (CPPS) is proposed. Based on the entropy of the power flow and complex network theory, we establish heterogeneity evaluation index system for CPPS, which considers the survivability of island survivability and short-term operation of the communication network. For mustration, hierarchical CPPS model and distributed CPPS model are established respectively based on partitioning characteristic and different relationships of power grid and communication network. Simulation results show that distributed system is more robust than hierarchical system of different weighting factor whether under random attack or deliberate attack and a hierarchical system is more sensitive to the weighting factor. The proposed method has a better recognition effect on the equilibrium of the network structure and can assess the vulnerability of CPPS more accurately.
Citation Keywang_vulnerability_2018