The DOI matches its Crossref record; 147 of the 147 references it cites were found in a registry or an index.
Cyber-Physical Power System (CPPS): A Review on Modeling, Simulation, and Analysis With Cyber Security Applications
Open accessAbstract
Cyber-Physical System (CPS) is a new kind of digital technology that increases its attention across academia, government, and industry sectors and covers a wide range of applications like agriculture, energy, medical, transportation, etc. The traditional power systems with physical equipment as a core element are more integrated with information and communication technology, which evolves into the Cyber-Physical Power System (CPPS). The CPPS consists of a physical system tightly integrated with cyber systems (control, computing, and communication functions) and allows the two-way flows of electricity and information for enabling smart grid technologies. Even though the digital technologies monitoring and controlling the electric power grid more efficiently and reliably, the power grid is vulnerable to cybersecurity risk and involves the complex interdependency between cyber and physical systems. Analyzing and resolving the problems in CPPS needs the modelling methods and systematic investigation of a complex interaction between cyber and physical systems. The conventional way of modelling, simulation, and analysis involves the separation of physical domain and cyber domain, which is not suitable for the modern CPPS. Therefore, an integrated framework needed to analyze the practical scenario of the unification of physical and cyber systems. A comprehensive review of different modelling, simulation, and analysis methods and different types of cyber-attacks, cybersecurity measures for modern CPPS is explored in this paper. A review of different types of cyber-attack detection and mitigation control schemes for the practical power system is presented in this paper. The status of the research in CPPS around the world and a new path for recommendations and research directions for the researchers working in the CPPS are finally presented.
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Cites
Smart Grid — The New and Improved Power Grid: A Survey
Fang, X., Misra, S., Xue, G., & Yang, D. (2012) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2011.101911.00087 · Cited by 3,405
Attack Detection and Identification in Cyber-Physical Systems
Pasqualetti, F., Dorfler, F., & Bullo, F. (2013) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2013.2266831 · Cited by 2,109
Goebel, R., Sanfelice, R. G., & Teel, A. R. (2009) · IEEE Control Systems · doi:10.1109/mcs.2008.931718 · Cited by 1,656
Cyber–Physical System Security for the Electric Power Grid
Sridhar, S., Hahn, A., & Govindarasu, M. (2012) · Proceedings of the IEEE · doi:10.1109/jproc.2011.2165269 · Cited by 1,208
Cyber-Physical Systems Security—A Survey
Humayed, A., Lin, J., Li, F., & Luo, B. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2703172 · Cited by 1,185
Introduction to Embedded Systems - A Cyber-Physical Systems Approach
Lee, E. A., & Seshia, S. A. (2013) · Cited by 1,178
Cyber–Physical Security of a Smart Grid Infrastructure
Mo, Y., Kim, T. H.-J., Brancik, K., Dickinson, D., Lee, H., Perrig, A., & Sinopoli, B. (2012) · Proceedings of the IEEE · doi:10.1109/jproc.2011.2161428 · Cited by 1,096
A Review of False Data Injection Attacks Against Modern Power Systems
Liang, G., Zhao, J., Luo, F., Weller, S. R., & Dong, Z. Y. (2017) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2015.2495133 · Cited by 1,028
Manandhar, K., Cao, X., Hu, F., & Liu, Y. (2014) · IEEE Transactions on Control of Network Systems · doi:10.1109/tcns.2014.2357531 · Cited by 786
A Survey on the Detection Algorithms for False Data Injection Attacks in Smart Grids
Musleh, A. S., Chen, G., & Dong, Z. Y. (2020) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2019.2949998 · Cited by 714
Cited by
Hasan, M. K., Habib, A. A., Shukur, Z., Ibrahim, F., Islam, S., & Razzaque, M. A. (2023) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2022.103540 · Cited by 348
Murugesan, N., Velu, A. N., Palaniappan, B. S., Sukumar, B., & Hossain, M. J. (2024) · Energies · doi:10.3390/en17081965 · Cited by 13
VLATest: Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation
Wang, Z., Zhou, Z., Song, J., Huang, Y., Shu, Z., & Ma, L. (2025) · Proceedings of the ACM on Software Engineering · doi:10.1145/3729343 · Cited by 14
LBSCA: Learning Real-time Power System State Estimation Under Hidden Adversarial Attacks
Basulaiman, K., Albeladi, F., Almutairi, F. M., Saeed, A., & Barati, M. (2025) · IEEE Access · doi:10.1109/access.2025.3610609 · Cited by 6
Metadata
- Authors
- Yohanandhan, R. V., Elavarasan, R. M., Manoharan, P., & Mihet-Popa, L.
- Venue
- IEEE Access
- Published
- 2020
- Volume
- 8
- Pages
- 151019-151064
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W3049666257
- Cited by
- 391
- References
- 147
- FWCI
- 20.86
- Type
- journal article
- Language
- en
- Open access
- gold
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- Yohanandhan, R. V., Elavarasan, R. M., Manoharan, P., & Mihet-Popa, L. (2020). Cyber-Physical Power System (CPPS): A Review on Modeling, Simulation, and Analysis With Cyber Security Applications. IEEE Access. https://doi.org/10.1109/access.2020.3016826
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