Application of A Line Ampacity Model and Its Use in Transmission Lines Operations

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A conductor thermal model related to CIGRE and IEEE solutions was developed and compared with measurements. Two pylons of a single line were equipped with weather monitoring stations and conductor temperature sensors based on Surface Acoustic Wave (SAW) principle. Also a fiber optic distributed temperature sensing system was installed to provide additional data. Over 2.5 million data points were evaluated. Developed model deviation for more than 99 % of values proved to be ±1 °C for SAW sensor and ±3.5 °C for the fiber optic measurement. Several ampacity determination methods were described from a transmission grid operator’s point of view. Their features were compared in order to show at which planning period they could be useful. A new method for dynamic line rating determination was proposed. Although it reduces maximum ampacity gain, its advantage lies in minimizing measurement systems while retaining relatively stable value and low risk of temperature limit exceeding.

[1] CIGRE Joint Working Group B2.C1: Increasing Capacity of Overhead Transmission Lines: Needs and Solutions, CIGRE, 2010.

[2] FERNANDEZ, E.—ALBIZU, I.—BEDIALAUNETA, M. T.— MAZON, A. J.—LEITE, P. T.: Dynamic Line Rating Systems for Wind Power Integration, Power Engineering Society Conference and Exposition in Africa (PowerAfrica), IEEE, 2012, pp. 1–7.

[3] KLEIN, K. M.—SPRINGER, P. L.—BLACK, W. Z.: RealTime Ampacity and Ground Clearance Software for Integration into Smart Grid Technology, Power and Energy Society General Meeting, IEEE, 2011, pp. 1–11.

[4] SCHMALE, M.—PUFFER, R.—HEIDEMANN, M.: Dynamic Ampacity Rating of Conductor Bars in Highly Loaded Substations, CIRED 2013: 22nd International Conference and Exhibition on Electricity Distribution, 2013, pp. 1–4.

[5] FU, J.—ABDELKADER, S.—MORROW, D. J.—FOX, B.: Partial Least Squares Modelling for Dynamic Overhead Line Ratings, PowerTech, 2011 IEEE Trondheim, 2011, pp. 1–6.

[6] FU, J.—MORROW, D. J.—ABDELKADER, S. M.: Modelling and Prediction Techniques for Dynamic Overhead Line Rating, Power and Energy Society General Meeting, 2012 IEEE, 2012, pp. 1–7.

[7] ARNOLD, P.—KMENT, A.—PIPA, M.—JAnICEK, F.: On-site Partial Discharges Measurement of XLPE Cables, Transactions On Electrical Engineering 123, (2012), 107.

[8] STEPHEN, R.—DOUGLAS, D.—MIROSEVIC, G.—ARGA-SINSKA, H.—BAKIC, K.—HOFFMAN, S.—IGLESIAS, J.— JAKL, F.—KATOH, J.—KIKUTA, T. and others: Thermal Behaviour of Overhead Conductors, Cigre, 2002.

[9] IEEE Standard for Calculating the Current-Temperature of Bare Overhead Conductors, IEEE Std 738-2006 (Revision of IEEE Std 738-1993), IEEE Power Engineering Society, 2007, pp. c1–59.

[10] TLUSTY, J.: Monitorovaní, rízení a chránení elektrizacních soustav, Ceske vysoke ucení technické v Praze, 2011.

[11] PYTLAK, P.—MUSILEK, P.—LOZOWSKI, E.,: Precipitation-Based Conductor Cooling Model for Dynamic Thermal Rating Systems, Electrical Power Energy Conference (EPEC), 2009 IEEE, 2009, pp. 1–7.

[12] CIGRE Working Group B2.12 and International Council on Large Electric Systems: Guide for Selection of Weather Parameters for Bare Overhead Conductor Ratings, CIGRE, 2006.

[13] LE, T. L.—NEGNEVITSKY, M.—PIEKUTOWSKI, M.: Expert System Application for the Loading Capability Assessment of Transmission Lines, Power Systems, IEEE Transactions on 10 No. 4 (1995), 1805–1812.

[14] ROGLER, R. D.: Infrarotdiagnose an Verbindungen der energetischen Elektrotechnik, Fortschrittberichte VDI, ser. 21, VDI Verlag, 1999.

[15] VOSTRACKY, Z.—HALLER, R.: Impact of Radiation on the Thermal Behaviour of an Overhead Line Rope, 12th Interna-tional Scientific Conference Electric Power Engineering, VSB — Technical University of Ostrava, 2011, pp. 615–618.

[16] SNAJDR, J.—VOSTRACKY, Z.—SEDLACEK, J.: Evaluation of Theoretical Results of Overhead Line Ampacity Model, Proceedings of the 7th International Scientific Symposium on Electrical Power Engineering, Technical University of Kosice, 2013, pp. 152–154.

[17] GOGA, V.—PAULECH, J.—VARY, M.: Cooling of Electrical Cu Conductor with PVC Insulation - Analytical, Numerical and Fluid Flow Solution, J. Electrical Engineering 64 No. 2 (2013), 92–99.

[18] VARY, M.—GOGA, V.—PAULECH, J.: Experimental, Analytical and Computational Approaches to Bare Electric Wire Loading Characteristics, Electrotechnica, Electronica, Automatica 60 No. 3 (2012), 14–21.

[19] VDI: VDI Heat Atlas, Springer, 2010.

[20] Nktcables: VALCAP Grid Monitoring and Rating for High Voltage Cables and Overhead Lines,

[21] RIBE: RITHERM — Temperature Monitoring and Load Optimization on Overhead Transmission Lines, 2014.01.06,

[22] CNI,: Overhead Electrical Lines Exceeding AC 45 kV, Part 3: Set of National Normative Aspects, Section 19: National Normative Aspects for the Czech Republic, CSN EN 50341 3 19, Cesky normalizacní institut, 2003.11.25.

[23] MUSAVI, M.—CHAMBERLAIN, D.—LI, Q.: Overhead Conductor Dynamic Thermal Rating Measurement and Prediction, Smart Measurements for Future Grids (SMFG), 2011 IEEE International Conference on, 2011, pp. 135–138.

[24] KIM, S. D.—MORCOS, M. M.: An Application of Dynamic Thermal Line Rating Control System to Up-Rate the Ampacity of Overhead Transmission Lines, Power Delivery, IEEE Transactions on 28 No. 2 (2013), 1231–1232.

[25] ZHANG, J.—PU, J.—McCALLEY, J. D.—STERN, H.—GAL-LUS, W. A., Jr.: A Bayesian Approach for Short-Term Transmission Line Thermal Overload Risk Assessment, Power Delivery, IEEE Transactions on 17 No. 3 (2002), 770–778.

[26] WANG, K.—SHENG, G.—JIANG, X.: Risk Assessment of Transmission Dynamic Line Rating based on Monte Carlo, IEEE Power Engineering and Automation Conference (PEAM), vol. 2, 2011, pp. 398–402.

Journal of Electrical Engineering

The Journal of Slovak University of Technology

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