An Efficient Controlled Islanding Technique for Smart Grids

Mahdi Amini, Ali Reza Seifi, Haidar Samet

Abstract


In recent years, power systems are more complicated and prone to instability due to the presence of renewable energy resources. Therefore, the controlled power system islanding is proposed as the last resort to prevent system instability. The aim of controlled islanding is to create stable islands in the grid, in order to prevent global blackout and facilitate total system restoration. Therefore, a proper decision-making algorithm is required to determine the separation points in a very short time. In this paper, a novel hierarchical spectral clustering method is introduced, which meets the practical requirements and constraints of power system islanding. Moreover, this approach leads to several clustering candidate solutions simultaneously, which can be optimally selected based on a desired objective function. The proposed approach is evaluated on IEEE test systems and compared to the existing methods. The simulation results show that the proposed method is computationally more efficient than other existing approaches.

Keywords


Graph Partitioning; Hierarchical Spectral Clustering; Power System Islanding; Smart Grid.

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References


P. Kundur, C. Taylor, and P. Pourbeik, "Blackout experiences and lessons, best practices for system dynamic performance, and the role of new technologies," IEEE Task Force Report, 2007.

K. Sun, K. Hur, and P. Zhange, "Application of phasor measurement units (PMU) for controlled system separation," ed: Google Patents, 2013.

"UCTE: "Final Report. System Disturbance on 4 November 2006".

N. Senroy, "Generator coherency using the Hilbert–Huang transform," Power Systems, IEEE Transactions on, vol. 23, pp. 1701-1708, 2008.

L. Ding, F. M. Gonzalez-Longatt, P. Wall, and V. Terzija, "Two-step spectral clustering controlled islanding algorithm," Power Systems, IEEE Transactions on, vol. 28, pp. 75-84, 2013.

K. Naderi K, A. Hesami, “ A New Algorithm For Power Systems Controlled Islanding Based on constrained spectral clustering,†Journal of Iranian Association of Electrical and Electronics Engineers. 2017; 14 (3) :41-54.

S. Lamba and R. Nath, "Coherency identification by the method of weak coupling," International Journal of Electrical Power & Energy Systems, vol. 7, pp. 233-242, 1985.

Q. Zhao, K. Sun, D.-Z. Zheng, J. Ma, and Q. Lu, "A study of system splitting strategies for island operation of power system: a two-phase method based on OBDDs," Power Systems, IEEE Transactions on, vol. 18, pp. 1556-1565, 2003.

K. Sun, D.-Z. Zheng, and Q. Lu, "Splitting strategies for islanding operation of large-scale power systems using OBDD-based methods," Power Systems, IEEE Transactions on, vol. 18, pp. 912-923, 2003.

C. Wang, B. Zhang, Z. Hao, J. Shu, P. Li, and Z. Bo, "A novel real-time searching method for power system splitting boundary," Power Systems, IEEE Transactions on, vol. 25, pp. 1902-1909, 2010.

J. Quirós-Tortós, R. Sánchez-García, J. Brodzki, J. Bialek, and V. Terzija, "Constrained spectral clustering-based methodology for intentional controlled islanding of large-scale power systems," IET Generation, Transmission & Distribution, vol. 9, pp. 31-42, 2014.

J. R. Lee, S. O. Gharan, and L. Trevisan, "Multiway spectral partitioning and higher-order cheeger inequalities," Journal of the ACM (JACM), vol. 61, p. 37, 2014.

R. J. Sánchez-García, M. Fennelly, S. Norris, N. Wright, G. Niblo, J. Brodzki, et al., "Hierarchical spectral clustering of power grids," Power Systems, IEEE Transactions on, vol. 29, pp. 2229-2237, 2014.

A. Esmaeilian and M. Kezunovic, "Prevention of power grid blackouts using intentional islanding scheme," IEEE transactions on industry applications, vol. 53, pp. 622-629, 2017.

R. Franco, C. Sena, G. N. Taranto, and A. Giusto, "Using synchrophasors for controlled islanding-A prospective application for the Uruguayan power system," IEEE Transactions on Power Systems, vol. 28, pp. 2016-2024, 2013.

M. Ariff and B. C. Pal, "Coherency identification in interconnected power system—An independent component analysis approach," Power Systems, IEEE Transactions on, vol. 28, pp. 1747-1755, 2013

M. R. Garey and D. S. Johnson, "Computers and intractability: a guide to NP-completeness," ed: WH Freeman and Company, San Francisco, 1979.

U. Von Luxburg, "A tutorial on spectral clustering," Statistics and computing, vol. 17, pp. 395-416, 2007.

F. R. Chung, "Spectral graph theory (CBMS regional conference series in mathematics, No. 92)," 1996.

X. Wang, B. Qian, and I. Davidson, "On constrained spectral clustering and its applications," Data Mining and Knowledge Discovery, vol. 28, pp. 1-30, 2014.

U. Von Luxburg, M. Belkin, and O. Bousquet, "Consistency of spectral clustering," The Annals of Statistics, pp. 555-586, 2008.

A. Y. Ng, M. I. Jordan, and Y. Weiss, "On spectral clustering: Analysis and an algorithm," in Advances in neural information processing systems, 2002, pp. 849-856.

R. W. Floyd, "Algorithm 97: shortest path," Communications of the ACM, vol. 5, p. 345, 1962.

A. Recchia, "Contiguity-constrained hierarchical agglomerative clustering using SAS," J. Stat. Softw, vol. 33, 2010.

J. C. Cepeda and J. L. Ruedaâ€Torres, "Introduction: The Role of Wide Area Monitoring Systems in Dynamic Vulnerability Assessment," Dynamic Vulnerability Assessment and Intelligent Control for Sustainable Power Systems, pp. 1-19, 2018.

A. M. Khalil and R. Iravani, "A dynamic coherency identification method based on frequency deviation signals," IEEE Transactions on Power Systems, vol. 31, pp. 1779-1787, 2016.

DIgSILENT PowerFactory, ed. Heinrich-Hertz-Straße, Germany.

K. Paul, N. Kumar, and S. Agrawal, "Optimal rescheduling of real power to mitigate congestion with incorporation of wind farm using gravitational search algorithm in deregulated environment," International Journal of Renewable Energy Research (IJRER), vol. 7, pp. 1731-1740, 2017.

K. Sun, D.-Z. Zheng, and Q. Lu, "A simulation study of OBDD-based proper splitting strategies for power systems under consideration of transient stability," IEEE Transactions on Power Systems, vol. 20, pp. 389-399, 2005.

A. Kyriacou, P. Demetriou, C. Panayiotou, and E. Kyriakides, "Controlled Islanding Solution for Large-Scale Power Systems," IEEE Transactions on Power Systems, vol. 33, pp. 1591-1602, 2018.




DOI (PDF): https://doi.org/10.20508/ijrer.v10i1.10221.g7834

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