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Title: Engineering structural robustness in power grid networks susceptible to community desynchronization

Abstract

Networked power grid systems are susceptible to a phenomenon known as Coherent Swing Instability (CSI), in which a subset of machines in the grid lose synchrony with the rest of the network. We develop network level evaluation metrics to (i) identify community substructures in the power grid network, (ii) determine weak points in the network that are particularly sensitive to CSI, and (iii) produce an engineering approach for the addition of transmission lines to reduce the incidences of CSI in existing networks, or design new power grid networks that are robust to CSI by their network design. For simulations on a reduced model for the American Northeast power grid, where a block of buses representing the New England region exhibit a strong propensity for CSI, we show that modifying the network’s connectivity structure can markedly improve the grid’s resilience to CSI. Our analysis provides a versatile diagnostic tool for evaluating the efficacy of adding lines to a power grid which is known to be prone to CSI. This is a particularly relevant problem in large-scale power systems, where improving stability and robustness to interruptions by increasing overall network connectivity is not feasible due to financial and infrastructural constraints.

Authors:
ORCiD logo [1]; ORCiD logo [2];  [2];  [1]
  1. Univ. of Washington, Seattle, WA (United States)
  2. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
OSTI Identifier:
1545071
Report Number(s):
PNNL-SA-145575
Journal ID: ISSN 2364-8228
Grant/Contract Number:  
AC05-76RL01830
Resource Type:
Accepted Manuscript
Journal Name:
Applied Network Science
Additional Journal Information:
Journal Volume: 4; Journal Issue: 1; Journal ID: ISSN 2364-8228
Publisher:
Springer Nature
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; 24 POWER TRANSMISSION AND DISTRIBUTION

Citation Formats

Dylewsky, Daniel, Yang, Xiu, Tartakovsky, Alexandre, and Kutz, J. Nathan. Engineering structural robustness in power grid networks susceptible to community desynchronization. United States: N. p., 2019. Web. doi:10.1007/s41109-019-0137-0.
Dylewsky, Daniel, Yang, Xiu, Tartakovsky, Alexandre, & Kutz, J. Nathan. Engineering structural robustness in power grid networks susceptible to community desynchronization. United States. doi:10.1007/s41109-019-0137-0.
Dylewsky, Daniel, Yang, Xiu, Tartakovsky, Alexandre, and Kutz, J. Nathan. Tue . "Engineering structural robustness in power grid networks susceptible to community desynchronization". United States. doi:10.1007/s41109-019-0137-0. https://www.osti.gov/servlets/purl/1545071.
@article{osti_1545071,
title = {Engineering structural robustness in power grid networks susceptible to community desynchronization},
author = {Dylewsky, Daniel and Yang, Xiu and Tartakovsky, Alexandre and Kutz, J. Nathan},
abstractNote = {Networked power grid systems are susceptible to a phenomenon known as Coherent Swing Instability (CSI), in which a subset of machines in the grid lose synchrony with the rest of the network. We develop network level evaluation metrics to (i) identify community substructures in the power grid network, (ii) determine weak points in the network that are particularly sensitive to CSI, and (iii) produce an engineering approach for the addition of transmission lines to reduce the incidences of CSI in existing networks, or design new power grid networks that are robust to CSI by their network design. For simulations on a reduced model for the American Northeast power grid, where a block of buses representing the New England region exhibit a strong propensity for CSI, we show that modifying the network’s connectivity structure can markedly improve the grid’s resilience to CSI. Our analysis provides a versatile diagnostic tool for evaluating the efficacy of adding lines to a power grid which is known to be prone to CSI. This is a particularly relevant problem in large-scale power systems, where improving stability and robustness to interruptions by increasing overall network connectivity is not feasible due to financial and infrastructural constraints.},
doi = {10.1007/s41109-019-0137-0},
journal = {Applied Network Science},
number = 1,
volume = 4,
place = {United States},
year = {2019},
month = {5}
}

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Works referenced in this record:

Multi-Contingency Cascading Analysis of Smart Grid Based on Self-Organizing Map
journal, April 2013

  • Yan, Jun; Zhu, Yihai; He, Haibo
  • IEEE Transactions on Information Forensics and Security, Vol. 8, Issue 4
  • DOI: 10.1109/TIFS.2013.2249065

The role of big data in improving power system operation and protection
conference, August 2013

  • Kezunovic, Mladen; Xie, Le; Grijalva, Santiago
  • 2013 IREP Symposium - Bulk Power System Dynamics and Control - IX Optimization, Security and Control of the Emerging Power Grid (IREP), 2013 IREP Symposium Bulk Power System Dynamics and Control - IX Optimization, Security and Control of the Emerging Power Grid
  • DOI: 10.1109/IREP.2013.6629368

Application of Recurrence Quantification Analysis to Power System Dynamic Studies
journal, January 2016


Stability of graph communities across time scales
journal, June 2010

  • Delvenne, J. - C.; Yaliraki, S. N.; Barahona, M.
  • Proceedings of the National Academy of Sciences, Vol. 107, Issue 29
  • DOI: 10.1073/pnas.0903215107

Community structure in social and biological networks
journal, June 2002

  • Girvan, M.; Newman, M. E. J.
  • Proceedings of the National Academy of Sciences, Vol. 99, Issue 12
  • DOI: 10.1073/pnas.122653799

Coherent Swing Instability of Power Grids
journal, February 2011

  • Susuki, Yoshihiko; Mezić, Igor; Hikihara, Takashi
  • Journal of Nonlinear Science, Vol. 21, Issue 3
  • DOI: 10.1007/s00332-010-9087-5

Online Detection of Start Time and Location for Hypocenter in North America Power Grid
journal, December 2010


Application of centrality measures of complex network framework in power grid
conference, November 2011

  • Nasiruzzaman, A. B. M.; Pota, H. R.; Mahmud, M. A.
  • IECON 2011 - 37th Annual Conference of IEEE Industrial Electronics, IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society
  • DOI: 10.1109/IECON.2011.6120079

The Power Grid as a complex network: A survey
journal, June 2013

  • Pagani, Giuliano Andrea; Aiello, Marco
  • Physica A: Statistical Mechanics and its Applications, Vol. 392, Issue 11
  • DOI: 10.1016/j.physa.2013.01.023

The Topological and Electrical Structure of Power Grids
conference, January 2010

  • Hines, P.; Blumsack, S.; Sanchez, E. Cotilla
  • 2010 43rd Hawaii International Conference on System Sciences
  • DOI: 10.1109/HICSS.2010.398

The Concept of Betweenness in the Analysis of Power Grid Vulnerability
conference, February 2010


Community Detection in Large-Scale Bipartite Networks
conference, September 2009

  • Liu, Xin; Murata, Tsuyoshi
  • 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology
  • DOI: 10.1109/WI-IAT.2009.15

Structural vulnerability of the North American power grid
journal, February 2004


Knowing power grids and understanding complexity science
journal, January 2015

  • Casals, Martí Rosas; Bologna, Sandro; Bompard, Ettore F.
  • International Journal of Critical Infrastructures, Vol. 11, Issue 1
  • DOI: 10.1504/IJCIS.2015.067399

Memory in network flows and its effects on spreading dynamics and community detection
journal, August 2014

  • Rosvall, Martin; Esquivel, Alcides V.; Lancichinetti, Andrea
  • Nature Communications, Vol. 5, Issue 1
  • DOI: 10.1038/ncomms5630

The many facets of community detection in complex networks
journal, February 2017

  • Schaub, Michael T.; Delvenne, Jean-Charles; Rosvall, Martin
  • Applied Network Science, Vol. 2, Issue 1
  • DOI: 10.1007/s41109-017-0023-6

A toolbox for power system dynamics and control engineering education and research
journal, January 1992

  • Chow, J. H.; Cheung, K. W.
  • IEEE Transactions on Power Systems, Vol. 7, Issue 4
  • DOI: 10.1109/59.207380

Finding and evaluating community structure in networks
journal, February 2004


A new model of network cascading failures with dependent nodes
conference, January 2015

  • Zhou, Jian; Huang, Ning; Sun, Xiaolei
  • 2015 Annual Reliability and Maintainability Symposium (RAMS)
  • DOI: 10.1109/RAMS.2015.7105077

Optimal intentional islanding to enhance the robustness of power grid networks
journal, September 2013

  • Pahwa, S.; Youssef, M.; Schumm, P.
  • Physica A: Statistical Mechanics and its Applications, Vol. 392, Issue 17
  • DOI: 10.1016/j.physa.2013.03.029

Detection and visualization of power system disturbances using principal component analysis
conference, August 2013

  • Barocio, E.; Pal, Bikash C.; Fabozzi, Davide
  • 2013 IREP Symposium - Bulk Power System Dynamics and Control - IX Optimization, Security and Control of the Emerging Power Grid (IREP), 2013 IREP Symposium Bulk Power System Dynamics and Control - IX Optimization, Security and Control of the Emerging Power Grid
  • DOI: 10.1109/IREP.2013.6629374

Power grid complex network evolutions for the smart grid
journal, February 2014

  • Pagani, Giuliano Andrea; Aiello, Marco
  • Physica A: Statistical Mechanics and its Applications, Vol. 396
  • DOI: 10.1016/j.physa.2013.11.022

Extended Topological Metrics for the Analysis of Power Grid Vulnerability
journal, September 2012


Architecture of the Florida power grid as a complex network
journal, May 2014

  • Xu, Yan; Gurfinkel, Aleks Jacob; Rikvold, Per Arne
  • Physica A: Statistical Mechanics and its Applications, Vol. 401
  • DOI: 10.1016/j.physa.2014.01.035

Flow-Based Network Analysis of the Caenorhabditis elegans Connectome
journal, August 2016

  • Bacik, Karol A.; Schaub, Michael T.; Beguerisse-Díaz, Mariano
  • PLOS Computational Biology, Vol. 12, Issue 8
  • DOI: 10.1371/journal.pcbi.1005055

Modularity and community structure in networks
journal, May 2006

  • Newman, M. E. J.
  • Proceedings of the National Academy of Sciences, Vol. 103, Issue 23
  • DOI: 10.1073/pnas.0601602103

Nonlinear Koopman Modes and a Precursor to Power System Swing Instabilities
journal, August 2012


A Critical Review of Robustness in Power Grids Using Complex Networks Concepts
journal, August 2015

  • Cuadra, Lucas; Salcedo-Sanz, Sancho; Del Ser, Javier
  • Energies, Vol. 8, Issue 9
  • DOI: 10.3390/en8099211

Vulnerability assessment for cascading failures in electric power systems
conference, March 2009

  • Baldick, Ross; Chowdhury, Badrul; Dobson, Ian
  • 2009 IEEE/PES Power Systems Conference and Exposition (PSCE)
  • DOI: 10.1109/PSCE.2009.4839939

Clustering-Based Dynamic Event Location Using Wide-Area Phasor Measurements
journal, May 2008


Modularity and community detection in bipartite networks
journal, December 2007


Analysis of structural vulnerabilities in power transmission grids
journal, May 2009

  • Bompard, Ettore; Napoli, Roberto; Xue, Fei
  • International Journal of Critical Infrastructure Protection, Vol. 2, Issue 1-2
  • DOI: 10.1016/j.ijcip.2009.02.002

Nonlinear Koopman Modes and Coherency Identification of Coupled Swing Dynamics
journal, November 2011


Robustness of the European power grids under intentional attack
journal, February 2008

  • Solé, Ricard V.; Rosas-Casals, Martí; Corominas-Murtra, Bernat
  • Physical Review E, Vol. 77, Issue 2
  • DOI: 10.1103/PhysRevE.77.026102