Dynamic Voltage Stability Estimation using Particle Filter
Estimation of voltage stability based on optimal
filtering method is presented. PV curve is used as a tool for voltage stability analysis. Dynamic voltage stability estimation is done by
using particle filter method. Optimum value (nose point) of PV curve can be estimated by estimating parameter of PV curve equation
optimal value represents critical voltage and
condition at specified point of measurement. Voltage stability is then estimated by analyzing loading margin condition c stimating equation. This
maximum loading
ecified dynamically.
[1] Carson W Taylor, "Power System Voltage Stability", McGraw-Hill, 1993.
[2] H.K. Clark, "New challenge: voltage stability", IEEE Power Engineering
Review, vol.10, no.4, pp.33-37, 1990.
[3] B. Milosevic, M. Begovic, "Voltage stability protection and control using
wide-area network of phasor measurements", IEEE Trans. on Power System, vol.18, no.1, pp.121-127, February, 2003.
[4] S. Corsi, G. Taranto, "A real-time voltage instability identification
algorithm based on local phasor measurements", IEEE Trans. on Power
System, vol.23, no.3, pp.1271-1280, August, 2008.
[5] K.Vu, M.M. Begovic, D.Novosel, M.M. Saha, "Use of local measurement
to estimate voltage stability margin", IEEE Trans. on Power System,
vol.14, no.3, pp.1029-1036, 1999.
[6] M. Larsson, C. Rehtanz, J. Bertsch, "Real-time voltage stability
assessment of transmission corridors," IFAC Symp. Power Plants and
Power Systems Control, Seoul, Korea, 2002.
[7] M.H. Haque, "On-line monitoring of maximum permissible loading of a
power system within voltage stability limits", IEE Proc. Generation,
Transmission and Distribution, vol.150, no.1, pp.107-112, January 2003.
[8] E.A. Wan, R. van der Merwe, "The Unscented Kalman Filter for
Nonlinear Estimation", Proc. of IEEE Symp.2000 on Adaptive Systems
for Signal Processing, Communication and Control (AS-SPCC), October
2000.
[9] N. J. Gordon, D.J. Salmond, and A.F.M. Smith, "Novel approach to
Non-linear/Non-Gaussian Bayesian State Estimation", IEEE Proceedings
F on Radar and Signal Processing, vol. 140, no.2, pp.107-113, 1993.
[10] J. Machowski, J. W. Bialek, J. Bumby, "Power System Dynamic: Stability
and Control", 2nd edition, John-Wiley and Sons, 2008, pp.300-303.
[11] K. Madsen, N.B. Nielsen, and O.Tingleff, "Methods for Non-linear Least
Squares Problems", Technical Report. Informatics and Mathematical
Modeling, Technical University of Denmark, 2004.
[12] A. Doucet, N. De Freitas, and N.J. Gordon, "Sequential Monte Carlo
Methods in Practice", Springer Verlag, 2001.
[13] M.S. Arulampalam, S. Maskell, N. Gordon and T. Clapp, "A Tutorial on
Particle Filters for On-line Non-linear/Non-Gaussian Bayesian Tracking",
IEEE Trans. on Signal Processing, vol.50, no.2, pp.174-188, February
2002.
[1] Carson W Taylor, "Power System Voltage Stability", McGraw-Hill, 1993.
[2] H.K. Clark, "New challenge: voltage stability", IEEE Power Engineering
Review, vol.10, no.4, pp.33-37, 1990.
[3] B. Milosevic, M. Begovic, "Voltage stability protection and control using
wide-area network of phasor measurements", IEEE Trans. on Power System, vol.18, no.1, pp.121-127, February, 2003.
[4] S. Corsi, G. Taranto, "A real-time voltage instability identification
algorithm based on local phasor measurements", IEEE Trans. on Power
System, vol.23, no.3, pp.1271-1280, August, 2008.
[5] K.Vu, M.M. Begovic, D.Novosel, M.M. Saha, "Use of local measurement
to estimate voltage stability margin", IEEE Trans. on Power System,
vol.14, no.3, pp.1029-1036, 1999.
[6] M. Larsson, C. Rehtanz, J. Bertsch, "Real-time voltage stability
assessment of transmission corridors," IFAC Symp. Power Plants and
Power Systems Control, Seoul, Korea, 2002.
[7] M.H. Haque, "On-line monitoring of maximum permissible loading of a
power system within voltage stability limits", IEE Proc. Generation,
Transmission and Distribution, vol.150, no.1, pp.107-112, January 2003.
[8] E.A. Wan, R. van der Merwe, "The Unscented Kalman Filter for
Nonlinear Estimation", Proc. of IEEE Symp.2000 on Adaptive Systems
for Signal Processing, Communication and Control (AS-SPCC), October
2000.
[9] N. J. Gordon, D.J. Salmond, and A.F.M. Smith, "Novel approach to
Non-linear/Non-Gaussian Bayesian State Estimation", IEEE Proceedings
F on Radar and Signal Processing, vol. 140, no.2, pp.107-113, 1993.
[10] J. Machowski, J. W. Bialek, J. Bumby, "Power System Dynamic: Stability
and Control", 2nd edition, John-Wiley and Sons, 2008, pp.300-303.
[11] K. Madsen, N.B. Nielsen, and O.Tingleff, "Methods for Non-linear Least
Squares Problems", Technical Report. Informatics and Mathematical
Modeling, Technical University of Denmark, 2004.
[12] A. Doucet, N. De Freitas, and N.J. Gordon, "Sequential Monte Carlo
Methods in Practice", Springer Verlag, 2001.
[13] M.S. Arulampalam, S. Maskell, N. Gordon and T. Clapp, "A Tutorial on
Particle Filters for On-line Non-linear/Non-Gaussian Bayesian Tracking",
IEEE Trans. on Signal Processing, vol.50, no.2, pp.174-188, February
2002.
@article{"International Journal of Electrical, Electronic and Communication Sciences:52647", author = "Osea Zebua and Norikazu Ikoma and Hiroshi Maeda", title = "Dynamic Voltage Stability Estimation using Particle Filter", abstract = "Estimation of voltage stability based on optimal
filtering method is presented. PV curve is used as a tool for voltage stability analysis. Dynamic voltage stability estimation is done by
using particle filter method. Optimum value (nose point) of PV curve can be estimated by estimating parameter of PV curve equation
optimal value represents critical voltage and
condition at specified point of measurement. Voltage stability is then estimated by analyzing loading margin condition c stimating equation. This
maximum loading
ecified dynamically.", keywords = "normalized PV curve, optimal filtering method particle filter, voltage stability.", volume = "6", number = "5", pages = "490-5", }