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Open Access

Orbiting Optimization Model for Tracking Voltage Security Region Boundary in Bulk Power Grids

Xue LiTao Jiang ( )Linquan BaiXiao KouFangxing LiHouhe ChenGuoqing Li
Department of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Department of Systems Engineering and Engineering Management, University of North Carolina at Charlotte, Charlotte, NC, 28223 USA
Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, 37996 USA
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Abstract

A voltage security region (VSR) is a powerful tool for monitoring the voltage security in bulk power grids with high penetration of renewables. It can prevent cascading failures in wind power integration areas caused by serious over or low voltage problems. The bottlenecks of a VSR for practical applications are computational efficiency and accuracy. To bridge these gaps, a general optimization model for tracking a voltage security region boundary (VSRB) in bulk power grids is developed in this paper in accordance with the topological characteristics of the VSRB. First, the initial VSRB point on the VSRB is examined with the traditional OPF by using the base case parameters as initial values. Then, the rest of the VSRB points on the VSRB are tracked one after another, with the proposed optimization model, by using the parameters of the tracked VSRB point as the initial value to explore its adjacent VSRB point. The proposed approach can significantly improve the computational efficiency of the VSRB tracking over the existing algorithms, and case studies, in the WECC 9-bus and the Polish 2736-bus test systems, demonstrate the high accuracy and efficiency of the proposed approach on exploring the VSRB.

References

[1]
D. Jayaweera, G. Burt, and J. R. McDonald, “Customer security assessment in distribution networks with high penetration of wind power,” IEEE Transactions on Power Systems, vol. 22, no. 3, pp. 13601368, Aug. 2007.
[2]
M. Negnevitsky, D. H. Nguyen, and M. Piekutowski, “Risk assessment for power system operation planning with high wind power penetration,” IEEE Transactions on Power Systems, vol. 30, no. 3, pp. 13591368, May 2015.
[3]
Z. F. Liu, Z. Zhang, R. Q. Zhuo, and X. Y. Wang, “Optimal operation of independent regional power grid with multiple wind-solar-hydro-battery power,” Applied Energy, vol. 235, pp. 15411550, Feb. 2019.
[4]
R. F. Yan, N. A. Masood, T. K. Saha, F. F. Bai, and H. J. Gu, “The anatomy of the 2016 south Australia blackout: a catastrophic event in a high renewable network,” IEEE Transactions on Power Systems, vol. 33, no. 5, pp. 53745388, Sep. 2018.
[5]
T. M. Haileselassie and K. Uhlen, “Power system security in a meshed North Sea HVDC grid,” Proceedings of the IEEE, vol. 101, no. 4, pp. 978990, Apr. 2013.
[6]
L. H. Yang, Z. Xu, J. Ostergaard, Z. Y. Dong, and K. P. Wong, “Advanced control strategy of DFIG wind turbines for power system fault ride through,” IEEE Transactions on Power Systems, vol. 27, no. 2, pp. 713722, May 2012.
[7]
M. Mohseni, M. A. S. Masoum, and S. M. Islam, “Low and high voltage ride-through of DFIG wind turbines using hybrid current controlled converters,” Electric Power Systems Research, vol. 81, no. 7, pp. 14561465, Jul. 2011.
[8]
Z. Xie, X. G. Zhang, X. Zhang, S. Y. Yang, and L. X. Wang, “Improved ride-through control of DFIG during grid voltage swell,” IEEE Transactions on Industrial Electronics, vol. 62, no. 6, pp. 35843594, Jun. 2015.
[9]
L. Q. Bai, T. Jiang, F. X. Li, H. J. Jia, Q. X. Shi, H. H. Chen, and G. Q. Li, “Confidence interval estimates for loading margin sensitivity for voltage stability monitoring in the presence of renewable energy,” in Proceedings of 2016 IEEE Power and Energy Society General Meeting (PESGM), Boston, MA, USA, 2016, pp. 15.
[10]
Z. X. Ma, H. Chen, and Y. L. Chai, “Analysis of voltage stability uncertainty using stochastic response surface method related to wind farm correlation,” Protection and Control of Modern Power Systems, vol. 2, no. 2, pp. 20, May 2017.
[11]
X. Li, G. D. Tian, Q. X. Shi, T. Jiang, F. X. Li, and H. J. Jia, “Security region of natural gas network in electricity-gas integrated energy system,” International Journal of Electrical Power & Energy Systems, vol. 117, pp. 105601, May 2020.
[12]
X. Li, T. Jiang. G. D. Liu, L. Q. Bai, H. T. Cui, and F. X. Li, “Bootstrap-based confidence interval estimation for thermal security region of bulk power grid,” International Journal of Electrical Power & Energy Systems, vol. 115, pp. 105498, Feb. 2020.
[13]
Y. L. Liu, X. J. Shi, and Y. Xu, “A hybrid data-driven method for fast approximation of practical dynamic security region boundary of power systems,” International Journal of Electrical Power and Energy Systems, vol. 117, pp. 05658, May 2020.
[14]
W. Wei, F. Liu, and S. W. Mei, “Dispatchable region of the variable wind generation,” IEEE Transactions on Power Systems, vol. 30, no. 5, pp. 27552765, Sep. 2015.
[15]
Y. W. Qiu, H. Wu, Y. H. Song, J. H. Wang, “Global approximation of static voltage stability region boundaries considering generator reactive power limits,” IEEE Transactions on Power Systems, vol. 33, no. 5, pp. 56825691, Sep. 2018.
[16]
Y. W. Qiu, H. Wu, Y. Z. Zhou, and Y. H. Song, “Global parametric polynomial approximation of static voltage stability region boundaries,” IEEE Transactions on Power Systems, vol. 32, no. 3, pp. 23622371, May 2017.
[17]
T. Ding, Q. L. Guo, R. Bo, H. B. Sun, and B. M. Zhang, “A static voltage security region for centralized wind power integration—Part I: concept and method,” Energies, vol. 7, no. 1, pp. 420443, Jan. 2014.
[18]
T. Ding, Q. L. Guo, R. Bo, H. B. Sun, B. M. Zhang, and T. E. Huang, “A static voltage security region for centralized wind power integration—Part II: applications,” Energies, vol. 7, no. 1, pp. 444461, Jan. 2014.
[19]
T. Jiang, X. H. Li, X. Li, H. H. Chen, and G. Q. Li. “General optimization model and piecewise approach for approximating security region boundary in bulk power systems,” Proceedings of the CSEE, vol.40, no.14, pp, 4411-4429+4722, Jul. 2020.
[20]
T. K. Yang and Y. X. Yu, “Static voltage security region-based coordinated voltage control in smart distribution grids,” IEEE Transactions on Smart Grid, vol. 9, no. 6, pp. 54945502, Nov. 2018.
[21]
J. Xiao, G. Q. Zu, X. X. Gong, and F. X. Li, “Observation of security region boundary for smart distribution grid,” IEEE Transactions on Smart Grid, vol. 8, no. 4, pp. 17311738, Jul. 2017.
[22]
J. Xiao, M. M. Zhang, L. Q. Bai, B. X. She, and B. Q. Zhang, “Boundary supply capability for distribution systems: concept, indices and calculation,” IET Generation, Transmission & Distribution, vol. 12, no. 2, pp. 499506, Jan. 2018.
[23]
S. J. Chen, Q. X. Chen, Q. Xia, and C Q. Kang, “Steady-state security assessment method based on distance to security region boundaries,” IET Generation, Transmission & Distribution, vol. 7, no. 3, pp. 288297, Mar. 2013.
[24]
F. M. Echavarren, E. Lobato, L. Rouco, and T. Gómez, “Formulation, computation and improvement of steady state security margins in power systems. Part I: theoretical framework,” International Journal of Electrical Power & Energy Systems, vol. 33, no. 2, pp. 340346, Feb. 2011.
[25]
T. Ding, R. Bo, H. B. Sun, F. X. Li, and Q. L. Guo, “A robust two-level coordinated static voltage security region for centrally integrated wind farms,” IEEE Transactions on Smart Grid, vol. 7, no. 1, pp. 460470, Jan. 2016.
[26]
T. Niu, Q. L. Guo, H. B. Sun, Q. W. Wu, B. M. Zhang, and T. Ding, “Autonomous voltage security regions to prevent cascading trip faults in wind turbine generators,” IEEE Transactions on Sustainable Energy, vol. 7, no. 3, pp. 13061316, Jul. 2016.
[27]
H. D. Nguyen, K. Dvijotham, and K. Turitsyn, “Constructing convex inner approximations of steady-state security regions,” IEEE Transactions on Power Systems, vol. 34, no. 1, pp. 257267, Jan. 2019.
[28]
Y. V. Makarov, P. W. Du, S. Lu, T. B. Nguyen, X. X. Guo, J. W. Burns, J. F. Gronquist, and M. A. Pai, “PMU-based wide-area security assessment: concept, method, and implementation,” IEEE Transactions on Smart Grid, vol. 3, no. 3, pp. 13251332, Sep. 2012.
[29]
T. K. Yang and Y. X. Yu, “Steady-state security region-based voltage/var optimization considering power injection uncertainties in distribution grids,” IEEE Transactions on Smart Grid, vol. 10, no, 3, pp. 29042911, May 2019.
[30]
R. D. Zimmerman, C. E. Murillo-Sánchez, and R. J. Thomas, “MATPOWER: steady-state operations, planning, and analysis tools for power systems research and education,” IEEE Transactions on Power Systems, vol. 26, no. 1, pp. 1219, Feb. 2011.
CSEE Journal of Power and Energy Systems
Pages 476-487
Cite this article:
Li X, Jiang T, Bai L, et al. Orbiting Optimization Model for Tracking Voltage Security Region Boundary in Bulk Power Grids. CSEE Journal of Power and Energy Systems, 2022, 8(2): 476-487. https://doi.org/10.17775/CSEEJPES.2020.00720

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Received: 11 March 2020
Revised: 10 May 2020
Accepted: 24 June 2020
Published: 19 August 2020
© 2020 CSEE
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