AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Powered by AMiner. Clicking this button will take you away from SciOpen.
Home CSEE Journal of Power and Energy Systems Article
PDF (1.8 MB)
Cite
EndNote(RIS) BibTeX
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Special Section Paper | Open Access

Detection Method for Cascading Failure of Power Systems Based on Epidemic Model

Jian Xu, Zhonghao He, Siyang Liao ( ), Yuanzhang Sun, Liangzhong Yao, Deping Ke, Jun Yang
School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
Show Author Information

Abstract

The early detection of cascading failure plays an important role in the safe and stable operation of the power system with high penetration of renewable energy. This paper proposes a fault propagation dynamic model based on the epidemic model, and further puts forward a method to detect the development of cascading failures. Through the simulation of the IEEE 39-bus and 118-bus systems, this model is proven to be valid and capable of providing practical technical support for the prevention of cascading failures in power systems with high penetration of renewable energy. This paper also provides an analysis method for the choice of different protection and control measures at each stage of cascading failure, which has critical significance and follow-up value.

Keywords

Cascading failurecomplex networkepidemic modelfault propagationrenewable energyweight method of game theory

References

[1]

Z. W. Shen, H. D. Sun, Y. Tang, W. Z. Zhong, A. S. Wang, B. Zhao, and S. Y. Xu, "Analysis of cascading failure differences between traditional AC power grid and high-proportion new energy power grid," Power System Technology, vol. 45, no. 12, pp. 4641–4649, May 2021.
Google Scholar
[2]

H. Zeng, F. Sun, T. Li, Q. Zhang, J. C. Tang, and T. Zhang, "Analysis of "9⋅28" blackout in South Australia and its enlightenment to China," Automation of Electric Power Systems, vol. 41, no. 13, pp. 1–6, Jul. 2017.
Google Scholar
[3]

H. D. Sun, T. Xu, Q. Guo, Y. L. Li, W. F. Lin, J. Yi, and W. F. Li, "Analysis on blackout in great Britain power grid on August 9th, 2019 and its enlightenment to power grid in China," Proceedings of the CSEE, vol. 39, no. 21, pp. 6183–6192, Nov. 2019.
Google Scholar
[4]

X. Liu and Z. Y. Li, "Revealing the impact of multiple solutions in DCOPF on the risk assessment of line cascading failure in OPA model," IEEE Transactions on Power Systems, vol. 31, no. 5, pp. 4159–4160, Sep. 2016.
Crossref Google Scholar
[5]

H. Dong and L. R. Cui, "System reliability under cascading failure models," IEEE Transactions on Reliability, vol. 65, no. 2, pp. 929–940, Jun. 2016.
Crossref Google Scholar
[6]

Y. P. Fang, N. Pedroni, and E. Zio, "Optimization of cascade-resilient electrical infrastructures and its validation by power flow modeling," Risk Analysis, vol. 35, no. 4, pp. 594–607, Apr. 2015.
Crossref Google Scholar
[7]

S. W. Mei, F. He, X. M. Zhang, S. Y. Wu, and G. Wang, "An improved OPA model and blackout risk assessment," IEEE Transactions on Power Systems, vol. 24, no. 2, pp. 814–823, May 2009.
Crossref Google Scholar
[8]

P. Dey, R. Mehra, F. Kazi, S. Wagh, and N. M. Singh, "Impact of topology on the propagation of cascading failure in power grid," IEEE Transactions on Smart Grid, vol. 7, no. 4, pp. 1970–1978, Jul. 2016.
Crossref Google Scholar
[9]

Q. Chen and L. Mili, "Composite power system vulnerability evaluation to cascading failures using importance sampling and antithetic variates," IEEE Transactions on Power Systems, vol. 28, no. 3, pp. 2321–2330, Aug. 2013.
Crossref Google Scholar
[10]

A. S. Wang, Y. Luo, G. Y. Tu, and P. Liu, "Vulnerability assessment scheme for power system transmission networks based on the fault chain theory," IEEE Transactions on Power Systems, vol. 26, no. 1, pp. 442–450, Feb. 2011.
Crossref Google Scholar
[11]

X. H. Zhang, W. Xu, F. Wu, X. C. Ren, and C. Y. Feng, "Intelligent method for characteristic event tracing and prediction of cascading failures in AC/DC hybrid power grid," Automation of Electric Power Systems, vol. 45, no. 10, pp. 17–24, May 2021.
Google Scholar
[12]

Y. H. Zhou, J. Y. Wu, G. T. Zhang, Q. Miao, B. Qu, and Y. M. Hu, "Assessment on power system vulnerability considering cascading failure," Power System Technology, vol. 37, no. 2, pp. 444–449, Mar. 2013.
Google Scholar
[13]

D. E. Newman, B. A. Carreras, V. E. Lynch, and I. Dobson, "Exploring complex systems aspects of blackout risk and mitigation," IEEE Transactions on Reliability, vol. 60, no. 1, pp. 134–143, Mar. 2011.
Crossref Google Scholar
[14]

D. Xu and H. T. Wang, "High risk cascading outage assessment in power systems with large-scale wind power based on stochastic power flow and value at risk," Power System Technology, vol. 43, no. 2, pp. 400–409, Feb. 2019.
Google Scholar
[15]

Z. H. Zhou and L. B. Shi, "Risk assessment of power system cascading failure considering wind power uncertainty and system frequency modulation," Proceedings of the CSEE, vol. 41, no. 10, pp. 3305–3316, May 2021.
Google Scholar
[16]

M. Rahnamay-Naeini, Z. Y. Wang, N. Ghani, A. Mammoli, and M. M. Hayat, "Stochastic analysis of cascading-failure dynamics in power grids," IEEE Transactions on Power Systems, vol. 29, no. 4, pp. 1767–1779, Jul. 2014.
Crossref Google Scholar
[17]

D. Liu, X. Zhang, and C. K. Tse, "A tutorial on modeling and analysis of cascading failure in future power grids," IEEE Transactions on Circuits and Systems Ⅱ: Express Briefs, vol. 68, no. 1, pp. 49–55, Jan. 2021.
Crossref Google Scholar
[18]

M. Ding, Y. C. Qian, and J. J. Zhang, "Multi-timescale cascading failure evolution and risk assessment model," Proceedings of the CSEE, vol. 37, no. 20, pp. 5902–5912, Oct. 2017.
Google Scholar
[19]

Q. Wu, D. X. Zhang, X. F. Ling, D. W. Liu, Y. Z. Qi, S. Y. Ma, and C. Y. Deng, "Dynamic analysis of disturbance propagation in power grid based on an epidemic model," Proceedings of the CSEE, vol. 39, no. 14, pp. 4061–4069, Jul. 2019.
Google Scholar
[20]
M. Romero, L. Gallego, "Analysis of voltage sags propagation in distribution grids using a SI epidemic model," in 3rd IEEE Workshop on Power Electronics and Power Quality Applications, 2017, pp. 341–346.
Crossref
[21]
H. N. Ma, H. S. Li, and Z. Han, "A framework of frequency oscillation in power grid: epidemic propagation over social networks," in 2012 Proceedings IEEE INFOCOM Workshops, 2012, pp. 67–72.
[22]
H. Y. Zhang, "Research on intentional islanding and vulnerability analysis of complex power systems, " Ph.D. dissertation, Department, Hunan University, Changsha, 2020.
[23]

Y. C. Wang, Y. B. Yang, and Q. X. Xu, "Reliability assessment for integrated power-gas systems considering renewable energy uncertainty and cascading effects," CSEE Journal of Power and Energy Systems, vol. 9, no. 3, pp. 1214–1226, May 2023.
Google Scholar
[24]

M. Ding, S. H. Li, H. B. Wu, M. Wang, and X. Q. Wang, "Analysis of power system operation state based on adequacy and security," Proceedings of the CSEE, vol. 24, no. 4, pp. 43–49, Apr. 2004.
Google Scholar
[25]
M. Manzano, E. Calle, J. Ripoll, A. M. Fagertun, V. Torres-Padrosa, S. Pahwa, and C. Scoglio, "Epidemic and cascading survivability of complex networks, " in 6th International Workshop on Reliable Networks Design and Modeling, 2014, pp. 187–193.
Crossref
[26]

L. Zhao and H. F. Huo, "Spatial propagation for a reaction-diffusion SI epidemic model with vertical transmission," Mathematical Biosciences and Engineering, vol. 18, no. 5, pp. 6012–6033, Jul. 2021.
Crossref Google Scholar
[27]

A. Gray, D. Greenhalgh, X. R. Mao, and J. F. Pan, "The SIS epidemic model with Markovian switching," Journal of Mathematical Analysis and Applications, vol. 394, no. 2, pp. 496–516, Oct. 2012.
Crossref Google Scholar
[28]

T. Harko, F. S. N. Lobo, and M. K. Mak, "Exact analytical solutions of the Susceptible-Infected-Recovered (SIR) epidemic model and of the SIR model with equal death and birth rates," Applied Mathematics and Computation, vol. 236, pp. 184–194, Jun. 2014.
Crossref Google Scholar
[29]

J. Lindquist, J. L. Ma, P. van den Driessche, and F. H. Willeboordse, "Effective degree network disease models," Journal of Mathematical Biology, vol. 62, no. 2, pp. 143–164, Feb. 2011.
Crossref Google Scholar
[30]

P. M. Anderson and A. A. Fouad, Power System Stability. New Delhi, India: Wiley-IEEE Press, 2002, pp. 11–36.
[31]

D. Wu, F. Ma, and J. N. Jiang, "A study on relationship between power network structure and total transient energy," Electric Power Systems Research, vol. 143, pp. 760–770, Feb. 2017.
Crossref Google Scholar
[32]

F. L. Liu, G. Y. Xu, J. H. Liu, C. Wang, T. S. Bi, and X. L. Guo, "Inertia distribution characteristics of power system considering structure and parameters of power grid," Automation of Electric Power Systems, vol. 45, no. 23, pp. 60–67, Dec. 2021.
Google Scholar
[33]

M. Zhou, J. Y. Li, S. Y. Wu, S. W. Liu, G. Y. Li, and J. Q. Liu, "Vulnerability analysis of power system based on dynamic regional electrical coupling," International Transactions on Electrical Energy Systems, vol. 29, no. 1, pp. e2671, Jan. 2019.
Crossref Google Scholar
[34]

Y. K. Wu, R. S. Song, and B. Chen, "A comprehensive weight method based on the game theory for information security risk assessment," Computer Engineering & Science, vol. 33, no. 5, pp. 9–13, May 2011.
Google Scholar
[35]

M. Vaiman, K. R. Bell, Y. Chen, B. Chowdhury, I. Dobson, P. D. H. Hines, M. Papic, S. S. Miller, and P. Zhang, "Risk assessment of cascading outages: methodologies and challenges," IEEE Transactions on Power Systems, vol. 27, no. 2, pp. 631–641, May 2012.
Crossref Google Scholar
[36]

D. R. Zhu, R. Wang, J. D. Duan, L. P. Chen, B. Xue, and W. J. Cheng, "Identification of critical transmission lines considering multiple influencing factors," Proceedings of the CSEE, vol. 39, no. 20, pp. 5938–5947, Oct. 2019.
Google Scholar
[37]

N. T. Dieu, D. H. Nguyen, N. H. Du, and G. Yin, "Classification of asymptotic behavior in a stochastic SIR model," SIAM Journal on Applied Dynamical Systems, vol. 15, no. 2, pp. 1062–1084, Aug. 2016.
Crossref Google Scholar
[38]

G. Y. Wang, X. Ma, X. N. Lin, Z. T. Li, S. K. Cao, Y. Q. Ye, and Y. Q. Wu, "Single-ended high-sensitivity protection scheme for flexible DC distribution line based on ensemble learning," Proceedings of the CSEE, vol. 41, no. 24, pp. 8447–8462, Dec. 2021.
Google Scholar
[39]

Z. Y. Xue, M. Zhou, and G. Y. Li, "Assessment and decision-making of power system short-term operation adequacy," Power System Technology, vol. 38, no. 4, pp. 994–1000, Apr. 2014.
Google Scholar
[40]
W. H. Yang, "Study on backup protection and control strategy for critical lines against cascading trips, " Ph.D. dissertation, Department, North China Electric Power University, Beijing, 2012.
[41]

Y. Yuan, J. T. Kang, D. L. Wang, Z. H. Pan, F. Li, and Y. X. Zhao, "Judgment of system transient stability and disturbance type screening method based on trajectory eigenvalue," Power System Technology, vol. 42, no. 10, pp. 3330–3338, Oct. 2018.
Google Scholar
[42]

C. Y. Yan, X. X. Zhou, J. D. Kang, F. Tian, and J. F. Yan, "Flow transferring sensitivity and security index analysis," Proceedings of the CSEE, vol. 30, no. 19, pp. 7–13, Jul. 2010.
Google Scholar
CSEE Journal of Power and Energy Systems
Volume 10 Issue 3,
May 2024
Pages 1356-1370
DOI: 10.17775/CSEEJPES.2022.07410
Cite this article:
Xu J, He Z, Liao S, et al. Detection Method for Cascading Failure of Power Systems Based on Epidemic Model. CSEE Journal of Power and Energy Systems, 2024, 10(3): 1356-1370. https://doi.org/10.17775/CSEEJPES.2022.07410

286

Views

7

Downloads

1

Crossref

1

Web of Science

1

Scopus

0

CSCD

Altmetrics
Received: 29 October 2022
Revised: 06 January 2023
Accepted: 27 February 2023
Published: 14 February 2024
© 2022 CSEE.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Return