Non-stationary autoregressive model for on-line detection of inter-area oscillations in power systems

IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe

Volumn , Issue , 2010, Pages

  Sidorov, Denis ^a   Panasetsky, Daniil ^a   Šmídl, Václav ^b  

^a MELENTIEV ENERGY SYSTEMS INSTITUTE   (Russian Federation)

^b INSTITUTE OF INFORMATION THEORY AND AUTOMATION   (Czech Republic)

Author keywords

Autoregressive processes; Kalman filtering; Power system stability; Probability

Indexed keywords

BAYESIAN NETWORKS; CIRCUIT OSCILLATIONS; ELECTRIC POWER TRANSMISSION; ELECTRIC POWER TRANSMISSION NETWORKS; PROBABILITY; REAL TIME SYSTEMS;

AUTO REGRESSIVE MODELS; AUTO REGRESSIVE PROCESS; ELECTROMECHANICAL OSCILLATION; INTER-AREA OSCILLATIONS; KALMAN-FILTERING; POWER SYSTEM STABILITY; QUALITATIVE INFORMATION; TRANSMISSION OPERATORS;

SYSTEM STABILITY;

EID: 78650560367     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISGTEUROPE.2010.5638992     Document Type: Conference Paper

References (15)

1. P. Korba, Real-time monitoring of electromechanical oscillations in power systems: first findings, Generation, Transmission & Distribution, IET, Vol. 1, Issue 1, 2007, pp. 80-88.
2. P. Korba, M. Larsson, C. Rehtanz, Detection of oscillations in power systems using Kalman filtering techniques, Proceedings of IEEE Conference on Control Applications, 23-25 June 2003, Vol. 1, pp. 183-188.
3. M. Hemmingsson, O. Samuelsson, K. Pedersen and A.H. Nielsen, Estimation Electro-Mechanical Parameters using Frequency Measurements, IEEE 2001, 0-7803-6672-7.
4. J. Wu, Wide Area Measurement System in the Power Grid of China, 27 April 2006, Moscow, Russia, Materials of CIGRE Regional Conference "Monitoring of Power System Dynamics Performance", Moscow, 2006.
5. J. Hauer, Application of Prony Analysis to the Determination of Modal Content and Equivalent Models for Measured Power System Response, IEEE Trans. on Power Systems, Vol.6, No.3, pp 1062-1068, 1991.
6. G. Ledwich, E. Palmer, Modal Estimates from Normal Operation of Power Systems, IEEE 2000, 0-7803-5935-6.
7. M. Banejad Identification of Damping Contribution from Power System Controllers, PhD thesis, Queensland University of Technology, 2004, 191p.
8. A.R. Messina, J.M. Ramirez, C.J.M. Canedo, An investigation on the use of power system stabilizers for damping inter-area oscillations in longitudinal power systems, IEEE Trans. Power Syst. 13, 2, 1998, pp.552-559.
9. A.R. Messina, S.D. Olguin, S.C.A. Rivera, D. Ruiz-Vega, Analytical investigation of large-scale use of static VAR compensation to aid damping of inter-area oscillations, in: Proceedings of the Seventh International Conference on ACDC Power Transmission (Conf. Publ. No. 485), 2830 November 2001, pp. 187-192.
10. L. Zhijian, S. Hongchun and Y. Jilai, TCSC Applied to Suppress Interarea Mode Oscillation Based on PMU and Fuzzy Logic Control, in International Symposium on Intelligent Information Technology Application Workshops, Los Alamitos, CA, USA: IEEE Computer Society, 2008, pp. 205-208.
11. R. Kulhavý and F. J. Kraus. On duality of regularized exponential and linear forgetting. Automatica, 32:1403-1415, 1996.
12. M. Kárný, J. Böhm, T. V. Guy, L. Jirsa, I. Nagy, P. Nedoma, and L. Tesař. Optimized Bayesian Dynamic Advising: Theory and Algorithms. Springer, London, 2005.
13. D. N. Sidorov, Yu. A. Grishin, V. Smidl. On-line Detection of Inter-area Oscillations using Forgetting Approach for Power Systems Monitoring IEEE Proc. of The 2nd International Conference on Computer and Automation Engineering (ICCAE), 26-28 Feb. 2010, Vol. 3, Singapore, P. 292-295.
14. R. J. Betancourt, E. Barocio, A. R. Messin, I. Martinez. Modal analysis of inter-area oscillations using the theory of normal modes Electric Power Systems Research, 79:576-585, 2009.
15. P. Kundur. Power System Stability and Control New York, McGraw Hill, 1994.