Intentional Controlled Islanding and Risk Assessment: A Unified Framework

Power systems are prone to cascading outages leading to large-area blackouts, and intentional controlled islanding (ICI) can mitigate these catastrophic events by splitting the system into sustainable islands. ICI schemes are used as the last resort to prevent cascading events; thus, it is critical to evaluate the corresponding system risks to ensure their correct operation. This paper proposes a unified framework to assess the risk of ICI schemes. First, a novel ICI method to create islands with minimum power imbalance is presented. Further, a risk assessment methodology is used to assess the probability and impact of the main operational modes of the ICI scheme. The unified framework provides insights on the benefits of implementing ICI, considering the uncertainties related to its reliability. The ICI scheme is demonstrated using the IEEE 9-bus system. The proposed unified framework is then fully deployed on the actual power system of Cyprus. Multiple case studies on the real network are created to demonstrate the adaptability and robustness of the proposed scheme to different system conditions. The adoption of the unified framework highlights that the system risk significantly reduces with the ICI in service, even when the reliability uncertainties associated with the scheme are considered.

[1]  W E Vesely,et al.  Fault Tree Handbook , 1987 .

[2]  G. J. Rogers,et al.  Slow coherency based network partitioning including load buses , 1993 .

[3]  W. K. Chen Graph theory and its engineering applications , 1997 .

[4]  Kai Sun,et al.  Splitting strategies for islanding operation of large-scale power systems using OBDD-based methods , 2003 .

[5]  M. Jonsson,et al.  A new method suitable for real-time generator coherency determination , 2004, IEEE Transactions on Power Systems.

[6]  V. Vittal,et al.  Slow coherency-based islanding , 2004, IEEE Transactions on Power Systems.

[7]  Cleve B. Moler,et al.  Numerical computing with MATLAB , 2004 .

[8]  I. Kamwa,et al.  Causes of the 2003 major grid blackouts in North America and Europe, and recommended means to improve system dynamic performance , 2005, IEEE Transactions on Power Systems.

[9]  C.W. Taylor,et al.  The anatomy of a power grid blackout - Root causes and dynamics of recent major blackouts , 2006, IEEE Power and Energy Magazine.

[10]  R.J. Kafka,et al.  On Power System Controlled Separation , 2006, IEEE Transactions on Power Systems.

[11]  Chan-Nan Lu,et al.  Risk Informed Design Refinement of a Power System Protection Scheme , 2008, IEEE Transactions on Reliability.

[12]  Ali Peiravi,et al.  A fast algorithm for intentional islanding of power systems using the multilevel kernel k-means approach , 2009 .

[13]  Vijay Vittal,et al.  Slow Coherency Based Cutset Determination Algorithm for Large Power Systems , 2010, IEEE Transactions on Power Systems.

[14]  Z Q Bo,et al.  A Novel Real-Time Searching Method for Power System Splitting Boundary , 2010, IEEE Transactions on Power Systems.

[15]  Chanan Singh,et al.  System Protection Schemes: Limitations, Risks, and Management , 2010 .

[16]  Guangyue Xu,et al.  Controlled Islanding Demonstrations on the WECC System , 2011, IEEE Transactions on Power Systems.

[17]  Pei Zhang,et al.  A New Unified Scheme for Controlled Power System Separation Using Synchronized Phasor Measurements , 2011, IEEE Transactions on Power Systems.

[18]  Andreas Poullikkas,et al.  The costs of power outages: a case study from Cyprus , 2012 .

[19]  Heidar Ali Shayanfar,et al.  Risk evaluation of online special protection systems , 2012 .

[20]  Glauco N. Taranto,et al.  Using synchrophasors for controlled islanding - A prospective application for the Uruguayan power system , 2013, IEEE Transactions on Power Systems.

[21]  Daniel S. Kirschen,et al.  Assessing the Impact of Insufficient Situation Awareness on Power System Operation , 2013, IEEE Transactions on Power Systems.

[22]  Peter Crossley,et al.  Quantifying the reliability level of system integrity protection schemes , 2014 .

[23]  Vladimir Terzija,et al.  Sectionalising methodology for parallel system restoration based on graph theory , 2015 .

[24]  Vladimir Terzija,et al.  Constrained spectral clustering-based methodology for intentional controlled islanding of large-scale power systems , 2015 .

[25]  Elias Kyriakides,et al.  Dynamic IEEE Test Systems for Transient Analysis , 2017, IEEE Systems Journal.