Open Access
| Issue |
E3S Web Conf.
Volume 185, 2020
2020 International Conference on Energy, Environment and Bioengineering (ICEEB 2020)
|
|
|---|---|---|
| Article Number | 01080 | |
| Number of page(s) | 5 | |
| Section | Energy Engineering and Power System | |
| DOI | https://doi.org/10.1051/e3sconf/202018501080 | |
| Published online | 01 September 2020 | |
- Davism, W. (1978) A new thermal rating approach: the real-time thermal rating system for strategic overhead conductor transmission lines, part Ⅰ: General description and justification of the real-time thermal rating system. IEEE Transactions on Power Apparatus and Systems, 96: 803–809. [CrossRef] [Google Scholar]
- Mostafa, S.A., Seth, A.B. (2016) Transfer capability improvement through market-based operation of series FACTS devices. IEEE Transactions on Power Systems, 31: 3702–3714. [CrossRef] [Google Scholar]
- Abbas, R.G., Mahmud, F.F., Muhammad, O. (2015) Optimal unified power flow controller application to enhance total transfer capability. IET Generation, Transmission & Distribution, 9: 358–368. [CrossRef] [Google Scholar]
- Bishnu, P.B., Jake, P.G., Timothy, M., et.al. (2018) Improvement of transmission line ampacity utilization by weather-based dynamic line rating. IEEE Transactions on Power Delivery, 33: 1853–1863. [CrossRef] [Google Scholar]
- (2013) IEEE Standard for Calculating the Current- Temperature Relationship of Bare Overhead Conductors. [Google Scholar]
- (2014) CIGRE Guide for thermal rating calculations of overhead lines, CIGRE WG B2.43, Technical brochures 601. [Google Scholar]
- Aznarte, J.L., Siebert, N. (2017) Dynamic line rating using numerical weather predictions and machine learning: a case study. IEEE Transactions on Power Delivery, 32: 335–343. [CrossRef] [Google Scholar]
- Xiao, R., Xiang, Y., Wang, L., et.al. (2018) Power system reliability evaluation incorporating dynamic thermal rating and network topology optimization. IEEE Transactions on Power Systems, 33: 6000–6011. [CrossRef] [Google Scholar]
- Matthias, A.B., Goran, A. (2016) Robust corrective control measures in power systems with dynamic line rating. IEEE Transactions on Power Systems,31: 2034–2043. [Google Scholar]
- Banakar, H., Alguacil, N., Galiana, F.D. (2005) Electrothermal coordination part I: theory and implementation schemes. IEEE Transactions on Power Systems, 20: 798–805. [CrossRef] [Google Scholar]
- Alguacil, N., Banakar, M.H., Galiana, F.D. (2005) Electrothermal coordination part II: case studies. IEEE Transactions on Power Systems, 20: 1738–1745. [CrossRef] [Google Scholar]
- Wang, M.X., Yang, M., Wang, J.H., et.al. (2018) Contingency analysis considering the transient thermal behavior of overhead transmission lines. IEEE Transactions on Power Systems, 33: 4982–4993. [CrossRef] [Google Scholar]
- Ngoko, B., Sugihara, H., Funaki, T. (2019) A temperature dependent power flow model considering overhead transmission line conductor thermal inertia characteristics. In: IEEE International Conference on Environment & Electrical Engineering & IEEE Industrial & Commercial Power Systems Europe. Genova. pp. 125–131. [Google Scholar]
- Zhou, S.Y., Wang, M.X., Wang, J.H., Yang, M. (2020) Time-process power flow calculation considering thermal behavior of transmission components. IEEE Transactions on Power Systems, Early Access. [Google Scholar]
- Rasmus, O., Joachim, H., Unnur, S.G. (2013) Electrothermal coordination in cable-based transmission grids. IEEE Transactions on Power Systems, 28: 4867–4874. [Google Scholar]
- (2006) IEC Standard-Electric Cables-Calculation of the current rating-part 1-1: Current rating equations (100 % load factor) and calculation of losses- general, IEC Standard 60287-1-1. [Google Scholar]
- (2006) IEC Standard-Electric Cables-Calculation of the current rating-part 2-1: Thermal resistance- calculation of thermal resistance, IEC Standard 60287-2-1. [Google Scholar]
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