multilayer perceptrons; transient stability monitoring and control; phasor measurement units; electric power systems
Abstract :
[en] This paper investigates a possibility for estimating rotor angles in the time frame of transient (angle) stability of electric power systems, for use in real-time. The proposed dynamic state estimation technique is based on the use of voltage and current phasors obtained from a phasor measurement unit supposed to be installed on the extra-high voltage side of the substation of a power plant, together with a multilayer perceptron trained off-line from simulations. We demonstrate that an intuitive approach to directly map phasor measurement inputs to the neural network to generator rotor angle does not offer satisfactory results. We found out that a good way to approach the angle estimation problem is to use two neural networks in order to estimate the sin(delta) and cos(delta) of the angle and recover the latter from these values by simple post-processing. Simulation results on a part of the Mexican interconnected system show that the approach could yield satisfactory accuracy for realtime monitoring and control of transient instability. (c) 2007 Elsevier B.V. All rights reserved.
Disciplines :
Computer science
Author, co-author :
Del Angel, Alberto ; Université de Liège - ULiège > Département d'Electricité, d'Electronique et d'Informatique > Systèmes et Modélisation
Geurts, Pierre ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Ernst, Damien ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Glavic, Mevludin ; Université de Liège - ULiège > Département d'Electricité, d'Electronique et d'Informatique > Systèmes et Modélisation
Wehenkel, Louis ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Language :
English
Title :
Estimation of rotor angles of synchronous machines using artificial neural networks and local PMU-based quantities
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Bibliography
Bonneville Power Administration, WAMS Final Report, BPA, 1999.
Decker I.C., Ehrensperger J.G., Agostini M.N., De Silva A.S., Bettiol A.L., and Zimath S.L. Synchronized phasor measurement system: development and applications. Proceedings of IX Symposium of Specialists in Electric Operational and Expansion Planning (SEPOPE), Paper SP-086 (2004), Rio de Janeiro, Brasil
A. Del Angel, M. Glavic, L. Wehenkel, Using artificial neural networks to estimate rotor angles and speeds from phasor measurements, in: Proceedings of Intelligent System Applications in Power ISAP2003, Lemnos, Greece, Paper ISAP03/017, 2003.
Diu A., and Wehenkel L. EXaMINE-experimentation of a monitoring and control system for managing vulnerabilities of the European infrastructure for electric power exchange. Proceedings of IEEE/PES Summer Meeting (2002), Chicago, USA
ELORSK: wide area measurements of power system dynamics-the North American WAMS project and its applicability to the Nordic countries, ELFORSK, Lund, Sweden, 2000.
Haykin S. Neural Networks, A Comprehensive Foundation (1994), IEEE Press, New York
IEEE 1344, Standard for synchrophasors for power systems, New York, 1995.
Kamwa I., and Grondin R. PMU configuration for system dynamic performance measurement in large multiarea power systems. IEEE Trans. Power Syst. 17 (2002) 385-394
Kamwa I., Grondin R., and Hebert Y. Wide-area measurement based stabilizing control of large power systems-a decentralized/hierarchical approach. IEEE Trans. Power Syst. 16 (2001) 136-153
D. Karlsson, Convener, CIGRE Task Force 38.02.19, System protection schemes in power networks, CIGRE Technical Brochure, No. 187, 2001.
Karlsson D., Hemmingsson M., and Lindahl S. Wide area system monitoring and control. IEEE Power Energy Mag. 2 (2004) 68-76
Liu C.W., Su M.Ch., Tsay S.-S., and Wang Y.J. Application of a novel fuzzy neural network to real-time transient stability swings prediction based on synchronized phasor measurements. IEEE Trans. Power Syst. 14 (1999) 685-692
Manitoba HVDC Research Centre, PSCAD/EMTDC power system simulation software tutorial manual, 2003.
A.R. Messina, J.M. Ramírez, J.M. Cañedo, An investigation on the use of power system stabilizer for damping inter-area oscillations in longitudinal power systems, IEEE/PES Winter Meeting, New York, NY, February 1997, Paper 94SM 532-2.
Pavella M., Ernst D., and Ruiz-Vega D. Transient Stability of Power Systems: A Unified Approach to Assessment and Control (2000), Kluwer Academic Publishers, Dordrecht
PEPITo user's manual, 2004, 〈www.pepite.be〉.
Phadke A.G. Synchronized phasor measurements in power systems. IEEE Comput. Appl. Power 6 (1993) 10-15
Rovnyak S., Liu C.-W., Lu J., Ma W., and Thorp J. Predicting future behavior of transient events rapidly enough to evaluate remedial control options in real time. IEEE Trans. Power Syst. 10 (1995) 1195-1203
C. Taylor, Convener, CIGRE Task Force 38.02.17, Advanced angle stability controls, CIGRE Technical Brochure, No. 155, 2000.
Wang Y.J., Liu C.W., and Liu C.H. A PMU based special protection scheme: a case study of Taiwan power system. Electr. Power Syst. Res. 27 (2005) 215-223
Wehenkel L., Ruiz-Vega D., Ernst D., and Pavella M. In: Savulescu S. (Ed). Preventive and Emergency Control of Power Systems in Real Time Stability in Power Systems-Techniques for Early Detection of the Risk of Blackout (2005), Springer, Berlin 199-232
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