A Preventive Strategy of Voltage Stability based on Characteristic Analysis

Zhen Hu; Ding Wang; Yangwu Shen; Daojun Chen; Yongyan Liu

doi:10.1051/e3sconf/201911501001

All issues

Volume 115 (2019)

E3S Web Conf., 115 (2019) 01001

References

Open Access

Issue		E3S Web Conf. Volume 115, 2019 2019 The 2^nd International Conference on Electrical Engineering and Green Energy (CEEGE 2019)


Article Number		01001
Number of page(s)		4
Section		Electronical Engineering
DOI		https://doi.org/10.1051/e3sconf/201911501001
Published online		02 September 2019

Baghaee, Hamid Reza; Mirsalim, Mojtaba; Gharehpetan, Gevork B.; et al. Nonlinear Load Sharing and Voltage Compensation of Microgrids Based on Harmonic Power-Flow Calculations Using Radial Basis Function Neural Networks. IEEE systems journal. 12, 3 (2018) [Google Scholar]
Hazarika, D. New method for monitoring voltage stability condition of a bus ofan interconnectedpower system using measurements of the bus variables. IET Generation, Transmission & Distribution. 6, 10 (2012) [CrossRef] [Google Scholar]
Wang Y, Wang C, Lin F, et al. Zhao J. Incorporating generator equivalent model into voltage stability analysis. IEEE Trans Power System. 28, 4 (2013) [Google Scholar]
Wang, Qi; Tai, Wei; Tang, Yi; et al. A two-layer game theoretical attack-defense model for a false data injection attack against power systems. International Journal of Electrical Power & Energy Systems. 104, 2 (2019) [CrossRef] [Google Scholar]
Wang Y, Pordanjani IR, Li W. Strategy to minimise the load shedding amount for voltagecollapseprevention. IET Generation, Transmission & Distribution. 5, 3 (2011) [Google Scholar]
Panteli, Mathaios; Trakas, Dimitris N.; Mancarella, Pierluigi; et al. Boosting the Power Grid Resilience to Extreme Weather Events Using Defensive Islanding. IEEE transactions on smart grid. 7, 6 (2016) [Google Scholar]
Xiang, Yingmeng; Wang, Lingfeng; Zhang, Yichi. Adequacy evaluation of electric power grids considering substation cyber vulnerabilities. International Journal of Electrical Power & Energy Systems. 96, 3 (2018) [CrossRef] [Google Scholar]
Gao B, Morison GK, Kundur, P. Voltage stability evaluation using modalanalysis. IEEE Trans Power System. 7, 4 (1992). [Google Scholar]
Tan, Song; Song, Wen-Zhan; Stewart, Michael; et al. Online Data Integrity Attacks Against Real-Time Electrical Market in Smart Grid. IEEE transactions on smart grid. 9, 1 (2018) [PubMed] [Google Scholar]
Chiang HD, Jumeau RJ. Towards a practical performance index for predictingvoltage collapsein electrical power system. IEEE Trans Power System. 10, 2 (1995) [Google Scholar]
Liao, Weixian; Salinas, Sergio; Li, Ming; et al. Cascading Failure Attacks in the Power System: A Stochastic Game Perspective. IEEE internet of things journal. 4, 6 (2017) [CrossRef] [PubMed] [Google Scholar]
Albert R, Albert I, Nakarado G L. Structural vulnerability of the North American power grid. Physical Review E. 69, 2 (2004) [Google Scholar]
Hu, Zhen; Li, Xinran. Method considering the dynamic coupling characteristic in power system for stability assessment. IET Generation, Transmission & Distribution. 11, 10 (2017) [Google Scholar]

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[1] Baghaee, Hamid Reza; Mirsalim, Mojtaba; Gharehpetan, Gevork B.; et al. Nonlinear Load Sharing and Voltage Compensation of Microgrids Based on Harmonic Power-Flow Calculations Using Radial Basis Function Neural Networks. IEEE systems journal. 12, 3 (2018) [Google Scholar]

[2] Hazarika, D. New method for monitoring voltage stability condition of a bus ofan interconnectedpower system using measurements of the bus variables. IET Generation, Transmission & Distribution. 6, 10 (2012) [CrossRef] [Google Scholar]

[3] Wang Y, Wang C, Lin F, et al. Zhao J. Incorporating generator equivalent model into voltage stability analysis. IEEE Trans Power System. 28, 4 (2013) [Google Scholar]

[4] Wang, Qi; Tai, Wei; Tang, Yi; et al. A two-layer game theoretical attack-defense model for a false data injection attack against power systems. International Journal of Electrical Power & Energy Systems. 104, 2 (2019) [CrossRef] [Google Scholar]

[5] Wang Y, Pordanjani IR, Li W. Strategy to minimise the load shedding amount for voltagecollapseprevention. IET Generation, Transmission & Distribution. 5, 3 (2011) [Google Scholar]

[6] Panteli, Mathaios; Trakas, Dimitris N.; Mancarella, Pierluigi; et al. Boosting the Power Grid Resilience to Extreme Weather Events Using Defensive Islanding. IEEE transactions on smart grid. 7, 6 (2016) [Google Scholar]

[7] Xiang, Yingmeng; Wang, Lingfeng; Zhang, Yichi. Adequacy evaluation of electric power grids considering substation cyber vulnerabilities. International Journal of Electrical Power & Energy Systems. 96, 3 (2018) [CrossRef] [Google Scholar]

[8] Gao B, Morison GK, Kundur, P. Voltage stability evaluation using modalanalysis. IEEE Trans Power System. 7, 4 (1992). [Google Scholar]

[9] Tan, Song; Song, Wen-Zhan; Stewart, Michael; et al. Online Data Integrity Attacks Against Real-Time Electrical Market in Smart Grid. IEEE transactions on smart grid. 9, 1 (2018) [PubMed] [Google Scholar]

[10] Chiang HD, Jumeau RJ. Towards a practical performance index for predictingvoltage collapsein electrical power system. IEEE Trans Power System. 10, 2 (1995) [Google Scholar]

[11] Liao, Weixian; Salinas, Sergio; Li, Ming; et al. Cascading Failure Attacks in the Power System: A Stochastic Game Perspective. IEEE internet of things journal. 4, 6 (2017) [CrossRef] [PubMed] [Google Scholar]

[12] Albert R, Albert I, Nakarado G L. Structural vulnerability of the North American power grid. Physical Review E. 69, 2 (2004) [Google Scholar]

[13] Hu, Zhen; Li, Xinran. Method considering the dynamic coupling characteristic in power system for stability assessment. IET Generation, Transmission & Distribution. 11, 10 (2017) [Google Scholar]