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State Estimation-based Transmission line parameter identification
Identificación de parámetros de líneas de transmisión usando estimación de estado
DOI:
https://doi.org/10.15446/ing.investig.v30n1.15208Keywords:
state estimation, parameter estimation, PMU, least squares (en)estimación de estado, estimación de parámetros, PMU, mínimos cuadrados (es)
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This article presents two state-estimation-based algorithms for identifying transmission line parameters. The identification technique used simultaneous state-parameter estimation on an artificial power system composed of several copies of the same transmission line, using measurements at different points in time. The first algorithm used active and reactive power measurements at both ends of the line. The second method used synchronised phasor voltage and current measurements at both ends. The algorithms were tested in simulated conditions on the 30-node IEEE test system. All line parameters for this system were estimated with errors below 1%.
Este artículo presenta dos algoritmos, basados en estimación de estado, para la identificación de parámetros de líneas de transmisión. Las técnicas utilizadas se fundamentan en la inclusión de los parámetros de las líneas en el vector de estado y la solución del estimador de estado por mínimos cuadrados ponderados. En ambos casos se construyeron sistemas de potencia ficticios que se componen de copias de la misma línea de transmisión para diferentes instantes de tiempo. Uno de los algoritmos usó mediciones de magnitud de voltaje y potencia activa y reactiva, mientras que el otro implementó mediciones fasoriales sincronizadas de voltaje y corriente. Los algoritmos fueron evaluados utilizando mediciones simuladas en el sistema de 30 nodos de IEEE. Ambas soluciones identificaron la totalidad de los parámetros de las líneas con errores menores del 1%.
References
Abur, A., Celik, M. K., A fast algorithm for the weighted least absolute value state estimation., IEEE Transactions on Power Systems, Vol. 6, No. 1, 1991, pp. 1-8.
Al-Othman, A. K., Irving, M. R., Analysis of confidence bounds in power system state estimation with uncertainty in both measurements and parameters., Electric Power Systems Research Elsevier, 1(December), 2005.
Alsac, O., Vempati, N., Stott, B., Monticelli. A., Generalized state estimation., Power Systems, IEEE Transactions on, Vol. 13, No. 3, Aug, 1998, pp. 1069-1075.
Arrillaga, J., Arnold, C. P., Computer Analysis of Power Systems., John Wiley and Sons, 1990.
Aschmoneit, F. C., Peterson, N. M., Adrian, E. C., State estimation with equality constraints., Proc. 10th PICA Conf. Toronto Canada, May 1997, pp. 427-430.
Boyd, S., Convex Optimization. Cambridge University Press, 2004.
Chen, J., Abur. A., Placement of PMUs to enable bad data detection in state estimation., Power Systems, IEEE Transactions on, Vol. 21, No. 4, Nov., 2006, pp. 1608-1615.
Debs, A., Estimation of steady-state power system model parameters., IEEE Power Apparatus and Systems, 93, 1974, pp. 1260-1268.
Huang, Z., Dagle, J., SynchroPhasor measurements: System architecture and performance evaluation in supporting wide-area applications., Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE, July, 2008, pp. 1-3.
Komarnicki, P., Dzienis, C., Styczynski, Z. A., Blumschein, J., Centeno, V., Practical experience with PMU system testing and calibration requirements., Power and Energy Society General Meeting IEEE, 2008.
Korres, G., A robust method for equality constrained state estimation., IEEE Transactions on Power Systems, 17, May 2002, pp. 305-314.
Kotiuga, W., Vidyasagar, M., Bad data rejection properties of weighted least absolute value techniques applied to static state estimation., IEEE Transactions on Power Systems, 101(4), 1982, pp. 844-851.
Kusic, G. L., Garrison, D. L., Measurement of transmission line parameters from SCADA data., Power Systems Conference and Exposition, IEEE PES, Vol.1, Oct. 2004, pp. 440-445.
Le, F., Pal, B. C., Cory, B. J., Phasor measurement application for power system voltage stability monitoring., Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE, July 2008, pp. 1-8.
Liu, W.-H. E., Lim, S-L., Parameter error identification and estimation in power system state estimation. Power Systems, IEEE Transactions on, Vol. 10, No. 1, Feb., 1995, pp. 200-209.
Liu, W.-H. E., Wu, F. F., Lun, S.-M., Estimation of parameter errors from measurement residuals in state estimation [power systems]. Power Systems, IEEE Transactions on, Vol. 7, No. 1, Feb., 1992, pp. 81-89.
Meliopoulos, A. P. S., Fardanesh, B., Zelingher, S., Power system state estimation: modeling error effects and impact on system operation., System Sciences, 2001. Proceedings of the 34th Annual Hawaii International Conference on, Jan., 2001, pp. 682-690.
Olarte, A., Díaz, H., Transmission lines parameter estimation using state estimation algorithms., Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE, July, 2008, pp. 1-7.
Phadke, A. G., Synchronized phasor measurements -A historical overview., Transmission and Distribution Conference and Exhibition 2002: Asia Pacific. IEEE/PES, 1Vol.1, Oct. 2002, pp. 476-479.
Saadat, H., Power System Analysis., Mc Graw Hill, 1999.
Schweppe, F. C., Handschin, E. J., Static state estimation in electric power systems., Proceedings of the IEEE, 62, 1974, pp. 972 - 982.
Singh, H., Alvarado, F. L., Weighted least absolute value state estimation using interior point methods., IEEE Transactions on Power Systems, 9(3), Aug. 1994, pp.1478-1484.
Singhand, H., Alvarado, F. L., Liu, W-H E., Constrained LAV state estimation using penalty functions., IEEE Transactions on Power Systems, Vol. 12, No. 1, Feb., 1997, pp. 383-388.
Uhlen, K., Warland, L., Gjerde, J. O., Breidablik, O., Uusitalo, M., Leirbukt, A. B., Korba. P., Monitoring amplitude, frequency and damping of power system oscillations with pmu measurements., Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE, July 2008, pp. 1-7.
Van-Cutsem, T., Quintana, V. H., Network parameter estimation using online data with application to transformer tap position estimation., Generation, Transmission and Distribution [see also IEE Proceedings-Generation, Transmission and Distribution], IEE Proceedings C, 135(1), Jan., 1988, pp. 31-40.
Xu, B., Abur, A., Observability analysis and measurement placement for systems with PMUs. Power Systems Conference and Exposition, 2004., IEEE PES, Vol. 2, Oct., 2004, pp. 943-946.
Xue, Y., Some viewpoints and experiences on wide area measurement systems and wide area control systems., Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE, July, 2008, pp. 1-6.
Zarco, P., Exposito, A.G., Power system parameter estimation: a survey. Power Systems, IEEE Transactions on, Vol. 15, No. 1, Feb., 2000, pp. 216-222.
Zhang, B., Wang, S., Xiang, N., A linear recursive bad data identification method with real - time application to power system state estimation., IEEE Trans. Power Syst, 7 (3), Aug., 1992, pp. 1378-1395.
Zhong S., Abur, A., Combined state estimation and measurement calibration., Power Systems, IEEE Transactions on, 20(1), Feb., 2005, pp. 458-465.
Zhou, M., Centeno, V. A., Thorp, J. S., Phadke, A. G., An alternative for including phasor measurements in state estimators., Power Systems, IEEE Transactions on, 21(4), Nov. 2006, pp. 1930-1937.
Zhu, J., Abur, A., Identification of network parameter errors., Power Systems, IEEE Transactions on, 21(2), May., 2006, pp. 586-592.
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Copyright (c) 2010 Fredy Andrés Olarte Dussán, Carlos Eduardo Borda Zapata, Hernando Díaz Morales
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