Estimation of rotor angles of synchronous machines using artificial neural networks and local PMU-based quantities

Neurocomputing

Volumn 70, Issue 16-18, 2007, Pages 2668-2678

  Del Angel, Alberto ^a   Geurts, Pierre ^a   Ernst, Damien ^a   Glavic, Mevludin ^a   Wehenkel, Louis ^a  

^a UNIVERSITY OF LIÈGE   (Belgium)

Author keywords

Electric power systems; Multilayer perceptrons; Phasor measurement units; Transient stability monitoring and control

Indexed keywords

COMPUTER SIMULATION; CONTROL SYSTEM STABILITY; ESTIMATION; ROTORS; SYNCHRONOUS MACHINERY;

DYNAMIC STATE ESTIMATION; PHASOR MEASUREMENT UNIT; TRANSIENT INSTABILITY;

MULTILAYER NEURAL NETWORKS;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; COMPUTER SYSTEM; CONTROLLED STUDY; ELECTRIC POTENTIAL; ELECTRICITY; MEASUREMENT; PERCEPTRON; POWER SUPPLY; PRIORITY JOURNAL; PROCESS MONITORING; SIGNAL PROCESSING;

EID: 34548157517     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2006.12.017     Document Type: Article

References (21)

1. Bonneville Power Administration, WAMS Final Report, BPA, 1999.
2. 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
3. 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.
4. 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
5. ELORSK: wide area measurements of power system dynamics-the North American WAMS project and its applicability to the Nordic countries, ELFORSK, Lund, Sweden, 2000.
6. Haykin S. Neural Networks, A Comprehensive Foundation (1994), IEEE Press, New York
7. IEEE 1344, Standard for synchrophasors for power systems, New York, 1995.
8. 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
9. 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
10. D. Karlsson, Convener, CIGRE Task Force 38.02.19, System protection schemes in power networks, CIGRE Technical Brochure, No. 187, 2001.
11. Karlsson D., Hemmingsson M., and Lindahl S. Wide area system monitoring and control. IEEE Power Energy Mag. 2 (2004) 68-76
12. 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
13. Manitoba HVDC Research Centre, PSCAD/EMTDC power system simulation software tutorial manual, 2003.
14. 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.
15. 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
16. PEPITo user's manual, 2004, 〈www.pepite.be〉.
17. Phadke A.G. Synchronized phasor measurements in power systems. IEEE Comput. Appl. Power 6 (1993) 10-15
18. 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
19. C. Taylor, Convener, CIGRE Task Force 38.02.17, Advanced angle stability controls, CIGRE Technical Brochure, No. 155, 2000.
20. 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
21. 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