References
- United States Department of Energy, “Annual U.S. Transmission Data Review," United States Department of Energy, Washington, DC, 2018,
- Federal Energy Regulatory Commission (FERC), “Managing Transmission Line Ratings," Federal Energy Regulatory Commission (FERC), Washington, DC, 2019,
- A. J. Wood, B. F. Wollenberg and G. B. Sheblé, Power Generation, Operation, and Control, 3rd ed. Hoboken, NJ: John Wiley & Sons, Inc., 2014.
- J. Grainger and W. Stevenson, Power System Analysis, New York, NY: McGraw-Hill Inc., 1994, pp. 380–530.
- A. Dasgupta, S. Nath and A. Das, “Transmission line fault classification and location using wavelet entropy and neural network,” Electr. Power Compon. Syst., vol. 40, no. 15, pp. 1676–1689, 2012. DOI: https://doi.org/10.1080/15325008.2012.716495.
- W. Fan and Y. Liao, “Wide area measurements based fault detection and location method for transmission lines,” Prot. Control Mod. Power Syst., vol. 4, no. 1, pp. 1–12, 2019. DOI: https://doi.org/10.1186/s41601-019-0121-9.
- W. Fan and Y. Liao, “Transmission line parameter-free fault location results using field data,” in 2018 IEEE Power and Energy Conference at Illinois, Champaign, IL, Feb. 2018.
- A. Raza, A. Benrabah, T. Alquthami and M. Akmal, “A review of fault diagnosing methods in power transmission systems,” Appl. Sci., vol. 10, no. 4, pp. 1312, 2020. Feb. 14, DOI: https://doi.org/10.3390/app10041312.
- T. M. Haque and A. Kashtiban, “Application of neural networks in power systems; a review,” in World Academy of Science, Engineering and Technology, 2005.
- J. Gracia, A. Mazón and I. Zamora, “Best ANN structure for fault identification in single and double-circuit transmission lines,” IEEE Trans. Power Delivery, vol. 20, no. 4, pp. 2389– 2395, October 2005. DOI: https://doi.org/10.1109/TPWRD.2005.855482.
- E. B. M. Tayeb and O. A. A. A. Rhim, “Transmission line faults detection, classification and location using artificial neural network,” in 2011 International Conference & Utility Exhibition on Power and Energy Systems: Issues and Prospects of Asia, Pattaya City, Thailand, 2012.
- M. B. Hessine, H. Jouini and S. Chebbi, “Fault detection and classification approaches in transmission lines using artificial neural networks,” in 17th IEEE Mediterranean Electrotechnical Conference, Beirut, Lebanon, Apr. 2014.
- T. Bouthiba, “Fault location in EHV transmission line using artificial neural networks,” Int. J. Appl. Math. Comput. Sci., vol. 14, no. 1, pp. 69–78, 2004.
- M. T. Hagh and H. Taghizadeh, “Fault classification and location of power transmission lines using artificial neural network,” in The 8th International Power Engineering Conference (IPEC), 2007.
- C. Asbery and Y. Liao, “Electric transmission system fault identification using modular artificial neural networks for single transmission lines,” in 2020 Power System Conference, Clemson, SC, Mar. 10–13, 2020.
- M. H. Beale, M. T. Hagan and H. B. Demuth, “2017a MATLAB Neural Network Toolbox User Guide,” MathWorks MATLAB, Natick, MA, 2017.
- M. T. Hagan, H. B. Demuth, M. H. Beale and O. D. Jesús, Neural Network Design, 2nd ed. ebook. https://hagan.okstate.edu/NNDesign.pdf.
- North American Electric Reliability Corporation (NERC), “Consideration of the Effects of Mutual Coupling When Setting Ground Instantaneous Overcurrent Elements,” Atlanta, GA: North American Electric Reliability Corporation (NERC), 2015.