| Title | Vulnerability Assessment of Power Cyber-Physical System Considering Nodes Load Capacity |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Zhou, Runfu, Peng, Minfang, Gao, Xingle |
| Conference Name | 2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) |
| Date Published | apr |
| Keywords | Analytical models, cascading failure, complex networks, Cyber-physical systems, Information Index, Metrics, network vulnerability, Power Cyber-Physical System, power grid vulnerability analysis, power grids, power system stability, pubcrawl, resilience, Resiliency, Scalability, Signal processing, Stability criteria |
| Abstract | The power cyber-physical system combines the cyber network with the traditional electrical power network, which can monitor and control the operation of the power grid stably and efficiently. Since the system's structure and function is complicated and large, it becomes fragile as a result. Therefore, establishing a reasonable and effective CPS model and discussing its vulnerability performance under external attacks is essential and vital for power grid operation. This paper uses the theory of complex networks to establish a independent system model by IEEE-118-node power network and 200-node scale-free information network, introducing information index to identify and sort important nodes in the network, and then cascade model of the power cyber-physical system based on the node load capacity is constructed and the vulnerability assessment analysis is carried out. The simulation shows that the disintegration speed of the system structure under deliberate attacks is faster than random attacks; And increasing the node threshold can effectively inhibit the propagation of failure. |
| DOI | 10.1109/ICSP51882.2021.9408825 |
| Citation Key | zhou_vulnerability_2021 |
Vulnerability Assessment of Power Cyber-Physical System Considering Nodes Load Capacity