volume | PIER Journals

Abstract

The temperature variation throughout overhead transmission lines has an important effect on the line operation. In order to describe the actual operation of transmission lines more accurately, this paper proposes a line segmentation method based on temperature distribution at different locations. Taking the actual transmission line of Shaanxi Province as a test case, the influence of the different temperature calculation methods on the maximum transmission power of lines is studied under the lumped parameter model and the distributed parameter model, respectively. It is shown that transmission line model considering non-uniform temperature distribution at different locations is more accurate for studying the operating state of the system.

1. Heckenbergerova, J., P. Musilek, and K. Filimonenkov, "Assessment of seasonal static thermal ratings of overhead transmission conductors," IEEE Power and Energy Society General Meeting, 1-8, 2011. Google Scholar

2. Beers, G. M., S. R. Gilligan, H. W. Lis, and J. M. Schamberger, "Transmission conductor ratings," IEEE Transactions on Power Apparatus and Systems, Vol. 82, No. 68, 767-775, 1963.
doi:10.1109/TPAS.1963.291406 Google Scholar

3. Fu, J., D. J. Morrow, S. Abdelkader, and B. Fox, "Impact of dynamic line rating on power systems," 46th International Universities’ Power Engineering Conference, 1-5, 2011. Google Scholar

4. Greenwood, D. M. and P. C. Taylor, "Investigating the impact of real-time thermal ratings on power network reliability," IEEE Transactions on Power Systems, Vol. 29, No. 5, 2460-2468, 2014.
doi:10.1109/TPWRS.2014.2305872 Google Scholar

5. Barry, R. G. and R. J. Chorley, Atmosphere, Weather and Climate, 8th Ed., Routledge, 2003.

6. Wydra, M. and P. Kacejko, "Power system state estimation using wire temperature measurements for model accuracy enhancement," IEEE PES Innovative Smart Grid Technologies Conference Europe, 1-6, 2016. Google Scholar

7. Wilson, G. L. and K. A. Schmidt, "Transmission line models for switching studies: Design criteria II. Selection of section length, model design and tests," IEEE Transaction on Power Apparatus and Systems, Vol. 93, No. 1, 389-395, 1974.
doi:10.1109/TPAS.1974.293959 Google Scholar

8. Cecchi, V., A. S. Leger, K. Miu, and C. O. Nwankpa, "Modeling approach for transmission lines in the presence of non-fundamental frequencies," IEEE Transaction on Power Delivery, Vol. 24, No. 4, 2328-2335, 2009.
doi:10.1109/TPWRD.2008.2002876 Google Scholar

9. Cecchi, V., A. S. Leger, K. Miu, and C. O. Nwankpa, "Incorporating temperature variations into transmission-line models," IEEE Transactions on Power Delivery, Vol. 26, No. 4, 2189-2196, 2011.
doi:10.1109/TPWRD.2011.2159520 Google Scholar

10. Rahman, M., M. Kiesau, and V. Cecchi, "Investigating the impacts of conductor temperature on power handling capabilities of transmission lines using a multi-segment line model," SoutheastCon 2017, 1-7, 2017. Google Scholar

11. Tang, Y., H. Chen, H. Wang, F. Dai, and S. Jiang, "Transmission line models used in travelling wave studies," Transmission and Distribution Conference, 797-803, 1999. Google Scholar

12. Bockarjova, M. and G. Andersson, "Transmission line conductor temperature impact on state estimation accuracy," IEEE Lausanne Power Tech., 701-706, 2007.
doi:10.1109/PCT.2007.4538401 Google Scholar

13. Wydra, M. and P. Kacejko, "Power system state estimation accuracy enhancement using temperature measurements of overhead line conductors," PES Innovative Smart Grid Technologies Conference Europe, 183-192, 2016. Google Scholar

Dr. Yanling Wang

Dr. Yang Mo

Dr. Likai Liang

Dr. Wei Wang

Dr. Xiaofeng Zhou

Dr. Ran Wei