Cascading Failure Analysis for Indian Power Grid

Major power grid blackouts in various parts of the world are characterized by voltage collapse. This paper studies the blackout case in the Indian power grid due to voltage collapse in the inter-regional corridor. First, the computer simulation models are tuned to match responses from the phasor measurement units at various locations in the grid. The inter-area mode with the frequency of 0.3 and 0.5 Hz with reduced damping were observed and resulted due to switching actions that occurred during the disturbance. This paper simulates the complex power grid network for various loading conditions of Northern region using power system simulator for engineering. Further, the system variables are analyzed using Prony method to estimate the inter-area mode for different NR loading conditions. The eigen values associated with the 0.3 Hz mode depict the movement from open left half plane into open right half plane with a slight increase in the parameter indicating “hopf bifurcation.” This paper also discusses the maximum loading capacity for the inter-regional lines in-order avoid loss of small signal stability, and highlights the use of real time phasor measurement unit measurements in-order to estimate and track the oscillatory modes.

[1]  Y. Hain,et al.  Analysis of the power blackout of June 8, 1995 in the Israel Electric Corporation , 1997 .

[2]  S. Mukhopadhyay,et al.  An Indian experience of defense against blackouts and restoration mechanism followed , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[3]  Ricard Sol'e,et al.  Analysis of major failures in Europe’s power grid , 2009, 0906.1109.

[4]  Chandan Kumar,et al.  PMU based identification of low frequency oscillations — A case study , 2013, 2013 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia).

[5]  Claudio A. Canizares,et al.  Indices to detect hopf bifurcation in power systems , 2000 .

[6]  P. Varaiya,et al.  Nonlinear oscillations in power systems , 1984 .

[7]  J. Romero.  Blackouts illuminate India's power problems , 2012 .

[8]  J.F. Hauer,et al.  Performance of "WAMS East" in providing dynamic information for the North East blackout of August 14, 2003 , 2004, IEEE Power Engineering Society General Meeting, 2004..

[9]  Ken Martin,et al.  Real Time Dynamics Monitoring System (RTDMS®) for use with SynchroPhasor technology in power systems , 2011, 2011 IEEE Power and Energy Society General Meeting.

[10]  P. Pentayya,et al.  Experience of blackouts and restoration practices in western region of India , 2004, IEEE Power Engineering Society General Meeting, 2004..

[11]  J. Rasmussen,et al.  Synchronized phasor measurements of a power system event in eastern Denmark , 2006, IEEE Transactions on Power Systems.

[12]  Benjamin A. Carreras,et al.  How Many Occurrences of Rare Blackout Events Are Needed to Estimate Event Probability? , 2013, IEEE Transactions on Power Systems.

[13]  P. Kundur,et al.  Definition and classification of power system stability IEEE/CIGRE joint task force on stability terms and definitions , 2004, IEEE Transactions on Power Systems.

[14]  S. C. Srivastava,et al.  Investigation of a voltage collapse incident in Sri Lankan power system network , 1998, Proceedings of EMPD '98. 1998 International Conference on Energy Management and Power Delivery (Cat. No.98EX137).

[15]  C.D. Vournas,et al.  Postmortem analysis and data validation in the wake of the 2004 Athens blackout , 2006, IEEE Transactions on Power Systems.

[16]  Leon Y. Bahar,et al.  Static bifurcations in electric power networks: Loss of steady-state stability and voltage collapse , 1986 .

[17]  J.E. Daggle.  Postmortem analysis of power grid blackouts - The role of measurement systems , 2006, IEEE Power and Energy Magazine.

[18]  Ching-Tzong Su,et al.  Study on the 729 blackout in the Taiwan power system , 2007 .

[19]  C. W. Taylor,et al.  Model validation for the August 10, 1996 WSCC system outage , 1999 .

[20]  Farrokh Aminifar,et al.  Impact of WAMS Malfunction on Power System Reliability Assessment , 2012, IEEE Transactions on Smart Grid.

[21]  W. Mittelstadt,et al.  Electromechanical Mode Online Estimation Using Regularized Robust RLS Methods , 2008, IEEE Transactions on Power Systems.

[22]  Deqiang Gan,et al.  Applications of Stability-Constrained Optimal Power Flow in the East China System , 2010, IEEE Transactions on Power Systems.

[23]  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.

[24]  H. Polinder,et al.  General Model for Representing Variable-Speed Wind Turbines in Power System Dynamics Simulations , 2002, IEEE Power Engineering Review.

[25]  P. Hines,et al.  Large blackouts in North America: Historical trends and policy implications , 2009 .

[26]  James S. Thorp,et al.  Synchronized Phasor Measurement Applications in Power Systems , 2010, IEEE Transactions on Smart Grid.

[27]  James A. Bucklew,et al.  Splitting Method for Speedy Simulation of Cascading Blackouts , 2013, IEEE Transactions on Power Systems.

[28]  C. W. Taylor,et al.  Recording and analyzing the July 2 cascading outage [Western USA power system] , 1997 .

[29]  M. Akke,et al.  Analysis of the Nordel power grid disturbance of January 1, 1997 using trajectory sensitivities , 1999 .

[30]  V. Ajjarapu,et al.  Bifurcation theory and its application to nonlinear dynamical phenomena in an electrical power system , 1991 .

[31]  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.