A Simplified Voltage Stability Index (SVSI)

Abstract This paper proposes an improved indicator to estimate the voltage stability margin in electric power systems, defined as the Simplified Voltage Stability Index (SVSI), which uses voltage measurements and some assumptions from the Thevenin model. The proposed technique uses information about the current operating condition incorporating only the voltage phasor measurements and the power system’s topology. The proposed index has been evaluated on the IEEE 30-bus and 118-bus test systems, considering several operating conditions and contingencies as line outages. The validation of the proposed index was performed by comparing it to other referenced voltage stability indexes. Simulation results show that the proposed index gives a good indication of the voltage stability of a power system; it is also simple and computationally less expensive than the indices it was compared to.

[1]  D. Elizondo,et al.  Synchrophasor technology: The boom of investments and information flow from North America to Latin America , 2012, 2012 IEEE Power and Energy Society General Meeting.

[2]  Durlav Hazarika.  New method for monitoring voltage stability condition of a bus of an interconnected power system using measurements of the bus variables , 2012 .

[3]  Jean Claude Maun,et al.  Comparison of Thevenin's Equivalent based Methods to Monitor Voltage Stability , 2008 .

[4]  P. Kundur,et al.  Power system stability and control , 1994 .

[5]  H. Khoshkhoo,et al.  On-line dynamic voltage instability prediction based on decision tree supported by a wide-area measurement system , 2012 .

[6]  A.C.Z. de Souza,et al.  New techniques to speed up voltage collapse computations using tangent vectors , 1997 .

[7]  Mahmoud Moghavvemi,et al.  Technique for contingency monitoring and voltage collapse prediction , 1998 .

[8]  Hsiao-Dong Chiang,et al.  Toward a practical performance index for predicting voltage collapse in electric power systems , 1995 .

[9]  M.J.H. Sterling,et al.  Voltage collapse proximity indicator: behaviour and implications , 1992 .

[10]  M. S. Sachdev,et al.  Technique for online prediction of voltage collapse , 2004 .

[11]  D. Thukaram,et al.  Congestion management in open access based on relative electrical distances using voltage stability criteria , 2007 .

[12]  B. Gao,et al.  Voltage Stability Evaluation Using Modal Analysis , 1992, IEEE Power Engineering Review.

[13]  K. Vu,et al.  Use of local measurements to estimate voltage-stability margin , 1997 .

[14]  Khaleequr Rehman Niazi,et al.  Line collapse proximity index for prediction of voltage collapse in power systems , 2012 .

[15]  R. Verayiah,et al.  A Study on static voltage collapse proximity indicators , 2008, 2008 IEEE 2nd International Power and Energy Conference.

[16]  Carlos A. Castro,et al.  Multi-criteria contingency ranking method for voltage stability , 2009 .

[17]  D. E. Julian,et al.  Quantifying proximity to voltage collapse using the Voltage Instability Predictor (VIP) , 2000, 2000 Power Engineering Society Summer Meeting (Cat. No.00CH37134).

[18]  I. Musirin,et al.  Novel fast voltage stability index (FVSI) for voltage stability analysis in power transmission system , 2002, Student Conference on Research and Development.

[19]  J.-C. Maun,et al.  Voltage-Stability Monitoring Using Wide-Area Measurement Systems , 2007, 2007 IEEE Lausanne Power Tech.

[20]  Yang Wang,et al.  Incorporating Generator Equivalent Model Into Voltage Stability Analysis , 2013, IEEE Transactions on Power Systems.

[21]  H. Glavitsch,et al.  Estimating the Voltage Stability of a Power System , 1986, IEEE Transactions on Power Delivery.

[22]  M. Glavic,et al.  Wide-Area Detection of Voltage Instability From Synchronized Phasor Measurements. Part I: Principle , 2009, IEEE Transactions on Power Systems.

[23]  Miroslav Begovic,et al.  Voltage Stability Protection and Control Using a Wide Area Network of Phasor Measurements , 2002, IEEE Power Engineering Review.

[24]  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.