Power system usually have standard static ratings (SLR) that determines load constraints. It refers to the maximum allowable conductor ampacity pre-determined by worst-case conditions (high ambient temperature, maximum solar radiation, and low wind speed) of their overhead transmission lines, that rises the line’s temperature without infringing ground clearance and causing loss of conductor tensile strength. Line’s dynamic capacity is created as an alternative to standard constant rating that is designed with reference to extreme weather and load conditions. Dynamic line rating allows assets the real power line’s operating capacity using available information on weather conditions. DLR is hence often more flexible than SLR, that have a chance of extending capacity of existing power lines for some periods of time with favorable weather conditions for transportation higher electrical power capacity from production site to the load. This paper investigates the possibility of using dynamic line rating (DLR) to expand the existing power transmission capacity of overhead lines which can be implemented on 220 kV transmission lines in Vietnam, especially in some line areas with high-density of renewable energy integration. This work applies a DLR caculation models to determine the power lines’ additional theoretical ampacity obtained by using this methodology for a Ninh Thuan region with distinct conditions regarding i) weather database, ii) topography and iii) wind and solar power resource. The results show that the dynamic rating is predominantly higher than the static rating, which potentially enhances the system’s reliability. This research provides a comprehensive study of literature on dynamic line rating, current constraints on the power system based on the geography of Vietnam, and analysis in Python and Matlab environment of real-time weather databases applied to dynamic rating on a proposed case study.
Published in | International Journal of Energy and Power Engineering (Volume 11, Issue 2) |
DOI | 10.11648/j.ijepe.20221102.15 |
Page(s) | 56-67 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2022. Published by Science Publishing Group |
Dynamic Line Rating, Static Rating, Ampacity, Overhead Conductor, Thermal Capacity
[1] | Vu, T. T. N., Teyssèdre, G., Roy, S. L., Anh, T. T., Trần, T. S., Nguyen, X. T., Nguyễn, Q. V., “The challenges and opportunities for the power transmission grid of Vietnam”, European Journal of Electrical Engineering, vol. 21, No. 6, pp. 489-497, 2019. |
[2] | Soheila Karimi, Petr Musilek, Andrew M. Knight, “Dynamic thermal rating of transmission lines: A review”, Renewable and Sustainable Energy Reviews, Volume 91, Pages 600-612, 2018. |
[3] | Estanqueiro et al., “DLR use for optimization of network design with very large wind (and VRE) penetration”, 17th International Workshop on LS Integration of Wind Power into Power Systems, p. 8, 2018. |
[4] | Tapani O. Seppa., “Guide for selection of weather parameters for bare overhead conductor ratings”, CIGRE Brochure 299, 2006. |
[5] | Andrea Michiorri, Huu-Minh Nguyen, Stefano Alessandrini, John Bjørnar Bremnes, Silke Dierer, Enrico Ferrero, Bjørn-Egil Nygaard, Pierre Pinson, Nikolaos Thomaidis, Sanna Uski., “Forecasting for dynamic line rating”, Renewable and Sustainable Energy Reviews, vol 52, pp. 1713–1730, 2015. |
[6] | M. A. Bucher, M. Vrakopoulou, and G. Andersson, “Probabilistic N-1 security assessment incorporating dynamic line ratings,” IEEE Power Energy Society General Meeting, pp. 1–5, July 2013. |
[7] | Fernandez, E., Albizu, I., Bedialauneta, M. T., Mazon, A. J., & Leite, P. T., “Review of dynamic line rating systems for wind power integration”, Renewable and Sustainable Energy Reviews, vol 53, pp. 80–92. 2016. |
[8] | Marmillo, J, Mehraban, B, Murphy, S, and Pinney, N., “A Non-Contact Sensing Approach for the Measurement of Overhead Conductor Parameters and Dynamic Line Ratings”, CIGRE US National Committee, Grid of the Future Symposium, Cleveland, OH, 2017. |
[9] | Bruce J. Walker., “Dynamic Line Rating, Report to Congress. United States Department of Energy”, Washington, DC 20585, June 2019. |
[10] | IEEE Power and Energy Society, “EEE Standard 738 - Standard for calculating the current temperature relationship of bare overhead line conductors”, Technical Standard, 2012. |
[11] | J. Iglesias, G. Watt, D. Douglass, V. Morgan, R. Stephen, M. Bertinat, D. Muftic, R. Puffer, D. Guery, S. Ueda, K. Bakic, and S. Hoffmann, “Guide for thermal rating calculation of overhead lines,” CIGRE working group B2.43, p. 93, 2014. |
[12] | G. Coletta et al., “On-Line Control of DERs to Enhance the Dynamic Thermal Rating of Transmission Lines”, in IEEE Transactions on Sustainable Energy, vol. 11, no. 4, pp. 2836-2844, Oct. 2020. |
[13] | In Vietnamese, https://nangluongvietnam.vn/cong-nghe-tien-tien-va-giai-phap-so-hoa-trong-van-hanh-luoi-dien-truyen-tai-viet-nam-27299.html |
[14] | GIZ, “Technology Assessment of Smart Grids for Renewable Energy and Energy Efficiency”, Technical report, pp. 22. 2019. |
[15] | Arroyo, A., Castro, P., Martinez, R., Manana, M., Madrazo, A., Lecuna, R., & Gonzalez, A, “Comparison between IEEE and CIGRE Thermal Behaviour Standards and Measured Temperature on a 132-kV Overhead Power Line”, Energies, 8 (12), pp. 13660–13671, 2015. |
[16] | Dupin, R., Kariniotakis, G., & Michiorri, A, “Overhead lines Dynamic Line rating based on probabilistic day-ahead forecasting and risk assessment,” International Journal of Electrical Power & Energy Systems, 110, 565–578. 2019. |
[17] | Viafora, N., Delikaraoglou, S., Pinson, P., & Holbøll, J., “Chance-constrained optimal power flow with non-parametric probability distributions of dynamic line ratings”, International Journal of Electrical Power & Energy Systems, vol 114, 105389. 2020. |
[18] | J. Marmillo, J., Pinney, N., Mehraban, B., Murphy, S., Dumitriu, N., “Simulating the Economic Impact of a Dynamic Line Rating Project in a Regional Transmission Operator (RTO) Environment”, CIGRE US National Committee 2018 Grid of the Future Symposium. 2018. |
[19] | L. Staszewski and W. Rebizant, “The differences between IEEE and CIGRE heat balance concepts for line ampacity considerations,” in 2010 Modern electric power systems, pp. 1–4, Sep 2010. |
[20] | Rácz, L.; Németh, B.; Göcsei, G.; Zarchev, D.; Mladenov, V. “Performance Analysis of a Dynamic Line Rating System Based on Project Experiences”, Energies 2022, 15, 1003. |
[21] | K. Morozovska and P. Hilber, “Study of the monitoring systems for dynamic line rating,” Energy Procedia, vol. 105, no. Supplement C, pp. 2557 – 2562, 2017. 8th International Conference on Applied Energy, ICAE2016, 8-11 October 2016, Beijing, China. |
[22] | B. P. Bhattarai et al., “Transmission line ampacity improvements of altalink wind plant overhead tie-lines using weather-based dynamic line rating”, 2017 IEEE Power & Energy Society General Meeting, Chicago, IL, 2017, pp. 1-5. |
[23] | Couto et al., “Impact of the dynamic line rating analysis in regions with high levels of wind and solar PV generation”, 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), pp. 1206-1210, 2020. |
[24] | Kateryna Morozovska, Wadih Naim, Nicola Viafora, Ebrahim Shayesteh, Patrik Hilber., “A framework for application of dynamic line rating to aluminum conductor steel reinforced cables based on mechanical strength and durability”, International Journal of Electrical Power & Energy Systems, vol 116, 2020. |
[25] | Vietnam Electricity. (2021). Annual Report 2021, 29 pages. https://en.evn.com.vn/d6/news/Annual-Report-2021-6-13-2537.aspx |
[26] | Thang Nam Do, Paul J. Burke, Hoang Nam Nguyen, Indra Overland, Beni Suryadi, Akbar Swandaru, Zulfikar Yurnaidi, “Vietnam's solar and wind power success: Policy implications for the other ASEAN countries,” Energy for Sustainable Development, Volume 65, Pages 1-11, 2021. |
[27] | https://en.vietnamplus.vn/overloaded-renewable-energy-affects-power-system-operation/201165.vnp (accessed on 07 May 2021). |
[28] | World Bank: Smart Grid to Enhance Power Transmission in Vietnam. Available online: http://documents.worldbank.org/curated/en/779591468187450158/pdf/103719-WP-P131558-PUBLICVN-Smart-Grid-Book-2-21-16.pdf (published on 2016). |
[29] | In Vietnamese, https://www.pecc1.com.vn/d4/news/Cong-nghe-tien-tien-va-giai-phap-so-hoa-trong-van-hanh-luoi-dien-truyen-tai-Viet-Nam-8-1754.aspx |
[30] | https://nppmb.vn/tin-tuc/tin-tuc-npmb/vai-net-co-ban-ve-giam-sat-nhiet-dong-duong-day-2133.html#.YeEU2PgSmUl (accessed on 31 March 2021). |
[31] | The world bank – Data catalog (2016), “Vietnam – Electricity transmission network”, https://datacatalog.worldbank.org/dataset/vietnam-electricity-transmission-network-2016 |
[32] | In Vietnamese, https://www.evn.com.vn/d6/news/Thi-cong-duong-day-220kV-Nha-Trang-Thap-Cham-Con-vuong-mac-trong-boi-thuong-giai-phong-mat-bang-6-13-25637.aspx |
[33] | Vu Minh Phap, Doan Van Binh, Nguyen Hoai Nam, A. V. Edelev, M. A. Marchenko, “Analysis of Economic-Technical Potential of Renewable Power Sources for the Establishment of National Renewable Energy Center in Ninh Thuan Province, Vietnam”, E3S Web Conf. 209 06022 (2020). |
[34] | https://en.vietnamplus.vn/ninh-thuan-strives-to-become-renewable-energy-hub/221844.vnp (accessed on February 13, 2022). |
[35] | ENERGYDATA. INFO: https://energydata.info/about_us, by the World Bank Group. |
[36] | Hussien, Z. F., Azlan Abdul Rahim, A. A., & Abdullah, N., “Transmission and Distribution”, TNB Research, Malaysia. Power Electronics Handbook, 3rd ed., 1357-1375. |
[37] | K. Morozovska and P. Hilber, “Risk analysis of wind farm connection to existing grids using dynamic line rating,” 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), pp. 1-5, 2018. |
APA Style
Xuan Truong Nguyen, Tien Dat Nguyen. (2022). Dynamic Line Rating Solution: Deployment Opportunities for the Power Transmission Grid of Vietnam. International Journal of Energy and Power Engineering, 11(2), 56-67. https://doi.org/10.11648/j.ijepe.20221102.15
ACS Style
Xuan Truong Nguyen; Tien Dat Nguyen. Dynamic Line Rating Solution: Deployment Opportunities for the Power Transmission Grid of Vietnam. Int. J. Energy Power Eng. 2022, 11(2), 56-67. doi: 10.11648/j.ijepe.20221102.15
AMA Style
Xuan Truong Nguyen, Tien Dat Nguyen. Dynamic Line Rating Solution: Deployment Opportunities for the Power Transmission Grid of Vietnam. Int J Energy Power Eng. 2022;11(2):56-67. doi: 10.11648/j.ijepe.20221102.15
@article{10.11648/j.ijepe.20221102.15, author = {Xuan Truong Nguyen and Tien Dat Nguyen}, title = {Dynamic Line Rating Solution: Deployment Opportunities for the Power Transmission Grid of Vietnam}, journal = {International Journal of Energy and Power Engineering}, volume = {11}, number = {2}, pages = {56-67}, doi = {10.11648/j.ijepe.20221102.15}, url = {https://doi.org/10.11648/j.ijepe.20221102.15}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.20221102.15}, abstract = {Power system usually have standard static ratings (SLR) that determines load constraints. It refers to the maximum allowable conductor ampacity pre-determined by worst-case conditions (high ambient temperature, maximum solar radiation, and low wind speed) of their overhead transmission lines, that rises the line’s temperature without infringing ground clearance and causing loss of conductor tensile strength. Line’s dynamic capacity is created as an alternative to standard constant rating that is designed with reference to extreme weather and load conditions. Dynamic line rating allows assets the real power line’s operating capacity using available information on weather conditions. DLR is hence often more flexible than SLR, that have a chance of extending capacity of existing power lines for some periods of time with favorable weather conditions for transportation higher electrical power capacity from production site to the load. This paper investigates the possibility of using dynamic line rating (DLR) to expand the existing power transmission capacity of overhead lines which can be implemented on 220 kV transmission lines in Vietnam, especially in some line areas with high-density of renewable energy integration. This work applies a DLR caculation models to determine the power lines’ additional theoretical ampacity obtained by using this methodology for a Ninh Thuan region with distinct conditions regarding i) weather database, ii) topography and iii) wind and solar power resource. The results show that the dynamic rating is predominantly higher than the static rating, which potentially enhances the system’s reliability. This research provides a comprehensive study of literature on dynamic line rating, current constraints on the power system based on the geography of Vietnam, and analysis in Python and Matlab environment of real-time weather databases applied to dynamic rating on a proposed case study.}, year = {2022} }
TY - JOUR T1 - Dynamic Line Rating Solution: Deployment Opportunities for the Power Transmission Grid of Vietnam AU - Xuan Truong Nguyen AU - Tien Dat Nguyen Y1 - 2022/04/28 PY - 2022 N1 - https://doi.org/10.11648/j.ijepe.20221102.15 DO - 10.11648/j.ijepe.20221102.15 T2 - International Journal of Energy and Power Engineering JF - International Journal of Energy and Power Engineering JO - International Journal of Energy and Power Engineering SP - 56 EP - 67 PB - Science Publishing Group SN - 2326-960X UR - https://doi.org/10.11648/j.ijepe.20221102.15 AB - Power system usually have standard static ratings (SLR) that determines load constraints. It refers to the maximum allowable conductor ampacity pre-determined by worst-case conditions (high ambient temperature, maximum solar radiation, and low wind speed) of their overhead transmission lines, that rises the line’s temperature without infringing ground clearance and causing loss of conductor tensile strength. Line’s dynamic capacity is created as an alternative to standard constant rating that is designed with reference to extreme weather and load conditions. Dynamic line rating allows assets the real power line’s operating capacity using available information on weather conditions. DLR is hence often more flexible than SLR, that have a chance of extending capacity of existing power lines for some periods of time with favorable weather conditions for transportation higher electrical power capacity from production site to the load. This paper investigates the possibility of using dynamic line rating (DLR) to expand the existing power transmission capacity of overhead lines which can be implemented on 220 kV transmission lines in Vietnam, especially in some line areas with high-density of renewable energy integration. This work applies a DLR caculation models to determine the power lines’ additional theoretical ampacity obtained by using this methodology for a Ninh Thuan region with distinct conditions regarding i) weather database, ii) topography and iii) wind and solar power resource. The results show that the dynamic rating is predominantly higher than the static rating, which potentially enhances the system’s reliability. This research provides a comprehensive study of literature on dynamic line rating, current constraints on the power system based on the geography of Vietnam, and analysis in Python and Matlab environment of real-time weather databases applied to dynamic rating on a proposed case study. VL - 11 IS - 2 ER -