Abstract
Intentional controlled islanding is a novel emergency control technique to mitigate wide-area instabilities by intelligently separating the power network into a set of self-sustainable islands. During the last decades, it has gained an increased attention due to the recent severe blackouts all over the world. Moreover, the increasing uncertainties in power system operation and planning put more requirements on the performance of the emergency control and stimulate the development of advanced System Integrity Protection Schemes (SIPS). As compared to the traditional SIPS, such as out-of-step protection, ICI is an adaptive online emergency control algorithm that aims to consider multiple objectives when separating the network. This chapter illustrates a basic ICI algorithm implemented in PowerFactory. It utilises the slow coherency theory and constrained graph partitioning in order to promote transient stability and create islands with a reasonable power balance. The algorithm is also capable to exclude specified network branches from the search space. The implementation is based on the coupling of Python and MATLAB program codes. It relies on the PowerFactory support of the Python scripting language (introduced in version 15.1) and the MATLAB Engine for Python (introduced in release 8.4). The chapter also provides a case study to illustrate the application of the presented ICI algorithm for wide-area instability mitigation in the PST 16 benchmark system.
The original version of this chapter was revised: ESM files have been included. The erratum to this chapter is available at https://doi.org/10.1007/978-3-319-50532-9_15
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
G. Andersson, P. Donalek, R. Farmer, N. Hatziargyriou, I. Kamwa, P. Kundur, N. Martins, J. Paserba, P. Pourbeik, J. Sanchez-Gasca, R. Schulz, A. Stankovic, C. Taylor, V. Vittal, Causes of the 2003 major grid blackouts in North America and Europe, and recommended means to improve system dynamic performance. IEEE Trans. Power Syst. 20(4), 1922–1928 (2005)
J. Romero, Blackouts illuminate India’s power problems. IEEE Spectr. 49(10), 11–12 (2012)
V. Madani, D. Novosel, S. Horowitz, M. Adamiak, J. Amantegui, D. Karlsson, S. Imai, A. Apostolov, IEEE psrc report on global industry experiences with system integrity protection schemes (sips). IEEE Trans. Power Deliv. 25(4), 2143–2155 (2010)
B. Yang, V. Vittal, G.T. Heydt, Slow-coherency-based controlled islanding-a demonstration of the approach on the August 14, 2003 blackout scenario. IEEE Trans. Power Syst. 21(4), 1840–1847 (2006)
J. Quirós-Tortós, R. Sánchez-García, J. Brodzki, J. Bialek, V. Terzija, Constrained spectral clustering-based methodology for intentional controlled islanding of large-scale power systems. IET Gener. Transm. Distrib. 9(1), 31–42 (2015)
Q. Zhao, K. Sun, D.Z. Zheng, J. Ma, Q. Lu, A study of system splitting strategies for island operation of power system: a two-phase method based on obdds. IEEE Trans. Power Syst. 18(4), 1556–1565 (2003)
H. Shao, S. Norris, Z. Lin, J. Bialek, Determination of when to Island by Analysing Dynamic Characteristics in Cascading Outages, in 2013 IEEE Grenoble PowerTech (2013), pp. 1–6
B. Avramovic, P.V. Kokotovic, J.R. Winkelman, J.H. Chow, Area decomposition for electromechanical models of power systems. Automatica 16(6), 637–648 (1980)
J.H. Chow, Time-Scale Modeling of Dynamic Networks with Applications to Power Systems, Lecture Notes in Control and Information Sciences, vol 46 (Springer-Verlag, Berlin and New York, 1982)
J.H. Chow, New Algorithms for Slow Coherency Aggregation of Large Power Systems, in Systems and Control Theory for Power Systems, IMA Volumes in Mathematics and its Applications, vol. 64, ed. by J.H. Chow, P.V. Kokotović, R.J. Thomas (Springer-Verlag, New York, 1995)
H. You, V. Vittal, X. Wang, Slow coherency-based islanding. IEEE Trans. Power Syst. 19(1), 483–491 (2004)
M.A.M. Ariff, B.C. Pal, Coherency identification in interconnected power system-an independent component analysis approach. IEEE Trans. Power Syst. 28(2), 1747–1755 (2013)
P.M. Anderson, A.A. Fouad, Power System Control and Stability, 2nd edn. (IEEE Press Power Engineering Series, IEEE Press and Wiley-Interscience, Piscataway, N.J, 2003)
P. Kundur, N.J. Balu, M.G. Lauby, Power System Stability and Control (The EPRI power system engineering series, McGraw-Hill, New York, 1994)
G. Rogers, Power System Oscillations The Springer International Series in Engineering and Computer Science, Power Electronics and Power Systems (Springer, US, Boston, MA, 2000)
C. Jh, C. Kw, A toolbox for power system dynamics and control engineering education and research. IEEE Trans. Power Syst. 7(4), 1559–1564 (1992)
G. Xu, V. Vittal, Slow coherency based cutset determination algorithm for large power systems. IEEE Trans. Power Syst. 25(2), 877–884 (2010)
S. Rangapuram, M. Hein, Constrained 1-Spectral Clustering, in International Conference on Artificial Intelligence and Statistics (AISTATS) (2012)
U. von Luxburg, A tutorial on spectral clustering. Stat. Comput. 17(4), 395–416 (2007)
L. Ding, F.M. Gonzalez-Longatt, P. Wall, V. Terzija, Two-step spectral clustering controlled islanding algorithm. IEEE Trans. Power Syst. 28(1), 75–84 (2013)
R.J. Sanchez-Garcia, M. Fennelly, S. Norris, N. Wright, G. Niblo, J. Brodzki, J.W. Bialek, Hierarchical spectral clustering of power grids. IEEE Trans. Power Syst. 29(5), 2229–2237 (2014)
DIgSILENT GmbH, PowerFactory v15.2.5 User Manual (Gomaringen, Germany, 2015) online Edition. Available at http://www.digsilent.de
MATLAB, version 8.6.0 (R2015b) (The MathWorks Inc., Natick, Massachusetts, 2015). Available at http://www.mathworks.com (Online)
S.P. Teeuwsen, Oscillatory Stability Assessment of Power Systems Using Computational Intelligence (Ph.d. dissertation, University Duisburg-Essen, 2005)
Acknowledgements
This study was financially supported by the Dutch Scientific Council NWO-STW, under the project 408-13-025 within the program of Uncertainty Reduction of Sustainable Energy Systems (URSES) in collaboration with TenneT TSO and the Dutch National Metrology Institute, van Swinden laboratory.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
11.1 Electronic Supplementary Material
Below is the link to the electronic supplementary material.
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this chapter
Cite this chapter
Tyuryukanov, I., Naglič, M., Popov, M., van der Meijden, M.A.M.M. (2018). Implementation of Slow Coherency Based Controlled Islanding Using DIgSILENT PowerFactory and MATLAB. In: Gonzalez-Longatt, F., Rueda Torres, J. (eds) Advanced Smart Grid Functionalities Based on PowerFactory. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-50532-9_11
Download citation
DOI: https://doi.org/10.1007/978-3-319-50532-9_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-50531-2
Online ISBN: 978-3-319-50532-9
eBook Packages: EnergyEnergy (R0)