A K-NN algorithm based fault locating system for HVDC transmission lines

• Autorzy: Flih Abdelhak , Souag Slimane , Ghomri Leila

Identyfikatory

DOI

10.15199/48.2023.11.18

Warianty tytułu

PL

System lokalizacji uszkodzeń oparty na algorytmie K-NN dla linii przesyłowych HVDC

• Języki publikacji: EN

Abstrakty

EN

High voltage direct current power transmission HVDC is nowadays in full expansion in the world for different reasons; economic, technical and environmental ones. On the other hand, more recently, the energy transition has boosted this technology enormously for the integration of renewable energies and carbon neutrality strategy these last times. As any system, the HVDC are subject to different faults which can affect their operation functioning. The aim of this work is to use a classifier based on one of the artificial intelligence methods to localize these faults. We have chosen the k-NN classifier, the theory of statistical learning.in k-NN classification, the result is a membership class. An input object is classified according to the majority result of the membership class statistics of its k nearest neighbors then the proposed approach has the ability to help in the field of classification of defects because there is no restriction on the number of features. It’s one of the supervised classifications and the result are a different fault location in dc cable.

PL

Transmisja prądu stałego wysokiego napięcia HVDC jest obecnie w pełni rozpowszechniona na świecie z różnych powodów; ekonomicznych, technicznych i środowiskowych. Z drugiej strony, ostatnio transformacja energetyczna ogromnie przyspieszyła tę technologię w zakresie integracji energii odnawialnej i strategii neutralności pod względem emisji dwutlenku węgla. Jak każdy system, HVDC podlegają różnym awariom, które mogą wpływać na ich funkcjonowanie. Celem niniejszej pracy jest wykorzystanie klasyfikatora opartego na jednej z metod sztucznej inteligencji do lokalizacji tych uszkodzeń. Wybraliśmy klasyfikator k-NN, teorię statystycznego uczenia się. W klasyfikacji k-NN wynikiem jest klasa przynależności. Obiekt wejściowy jest klasyfikowany zgodnie z większościowym wynikiem statystyki przynależności do klasy jego k najbliższych sąsiadów, to proponowane podejście ma możliwość pomocy w zakresie klasyfikacji defektów, ponieważ nie ma ograniczeń co do liczby cech. Jest to jedna z nadzorowanych klasyfikacji, której wynikiem jest inna lokalizacja uszkodzenia w kablu prądu stałego.

Słowa kluczowe

EN

HVDC transmission system; k-NN classification; fault location

PL

system przesyłowy HVDC; klasyfikacja K-NN; lokalizacja usterki

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2023
• Tom: R. 99, nr 11
• Strony: 104--108
• Opis fizyczny: Bibliogr. 20 poz., rys.

Twórcy

autor

Flih Abdelhak

• Abdelhamid ibn Badis University of mostaganem RN 11 Kharouba, Mostaganem 27000, ALGERIA

• https://orcid.org/0009-0008-3693-6034

autor

Souag Slimane

• Abdelhamid ibn Badis University of mostaganem RN 11 Kharouba, Mostaganem 27000, ALGERIA

• https://orcid.org/0000-0002-2272-2026

autor

Ghomri Leila

• Abdelhamid ibn Badis University of mostaganem RN 11 Kharouba, Mostaganem 27000, ALGERIA

• https://orcid.org/0000-0002-1018-5817

Bibliografia

• [1] Ali BERBOUCHA, Kaci GHEDAMSI Power Transmission Between Two Asynchronous Networks Using HVDC Technology The 4th International Seminar on New and Renewable Energies Unité de Recherche Appliquée en Energies Renouvelables, Ghardaïa - Algeria 24 - 25 October 2016
• [2] Lin Yang, Bin Wang, Xinzhou Dong, “Overview of HVDC transmission line fault location,” Automation of Electric Power Systems, vol. A42, pp. 185-191, April 2018.
• [3] Mingguang Zhang;Richang Guo; Huzhong Sun 2020 4th International Conference on HVDC (HVDC)
• [4] J. Yang, J. Fletcher, and J. O’Reilly, “Short-circuit and ground fault analyses and location in VSC-based DC network cables,” Industrial Electronics, IEEE Tran. on, vol. 59, no. 10, pp. 3827– 3837, Oct 2012.
• [5] J. Yang, J. E. Fletcher and J. O'Reilly, "Multi-terminal DC wind farm collection and transmission system internal fault analysis," 2010 IEEE International Symposium on Industrial Electronics, Bari, Italy, 2010, pp. 2437-2442, doi: 10.1109/ISIE.2010.5637547..
• [6] J. Rafferty, L. Xu, and D. Morrow, “DC fault analysis of VSC based multi-terminal HVDC systems,” in AC and DC Power Transmission, 10th IET International Conference on, Dec 2012, pp. 1–6.
• [7] J. Rafferty, L. Xu, and J. Morrow, “Analysis of voltage source converter-based high voltage direct current under DC line-to-earth fault,” Power Electronics, IET, vol. 8, no. 3, pp. 428–438, 2015.
• [8] L. Tang and B.-T. Ooi, “Locating and isolating DC faults in multiterminal DC systems,” Power Delivery, IEEE Transactions on, vol. 22, no. 3, pp. 1877–1884, July 2007.
• [9] Sul Ademi_, Dimitrios Tzelepis_, Adam Dysko_, Sankara Subramanian, Hengxu Ha. Fault Current Characterisation in VSC-based HVDC Systems Conference paper: 13th International Conference on Development in Power System Protection At: Edinburgh, UK March 2016
• [10] Shouqiang Kang, Yujing Wang, Guangxue Yang, Lixin Song, V.I. MIKULOVICH, “Rolling Bearing Fault Diagnosis Method Using Empirical Mode Decomposition and Hypersphere Multiclass Support Vector Machine,)
• [11] P. Chen, B. Xu, and J. Li, “A traveling wave based fault locating system for hvdc transmission lines,” in 2006 International Conference on Power System Technology, Oct 2006, pp. 1–4.
• [12] J. Yang, J. E. Fletcher, and J. O’Reilly, “Short-circuit and ground fault analyses and location in vsc-based dc network cables,” IEEE Transactions on Industrial Electronics, vol. 59, no. 10, pp. 3827–3837,Oct 2012.
• [13] G. Song, X. Cai, S. Gao, J. Suonan, and G. Li, “Natural frequency based protection and fault location for vsc-hvdc transmission lines,” in 2011 International Conference on Advanced Power System Automation and Protection, vol. 1, Oct 2011, pp. 177–182.
• [14] H. Cui and N. Tu, “Hvdc transmission line fault localization base on rbf neural network with wavelet packet decomposition,” in 2015 12th International Conference on Service Systems and Service Management(ICSSSM), June 2015, pp. 1–4.
• [15] L. Bao-de and T. Jian-cheng, “Transient fault location for hvdc transmission lines based on voltage distribution and one-terminal information,”in 2014 China International Conference on Electricity Distribution(CICED), Sept 2014, pp. 508–510.
• [16] L. Yuansheng, W. Gang, and L. Haifeng, “Time-domain fault-location method on hvdc transmission lines under unsynchronized two-end mea- surement and uncertain line parameters,” IEEE Transactions on Power Delivery, vol. 30, no. 3, pp. 1031–1038, June 2015.
• [17] Y. Qiu, H. Li, L. Guo, J. Wu, and Y. Liang, “A fault location method for double-circuit hvdc transmission lines on the same tower based on mixed modulus,” in 2015 IEEE Eindhoven PowerTech, June 2015, pp.1–5.
• [18] S B Imandoust et al. Int. Journal of Engineering Research and Applications Vol. 3, Issue 5, Sep-Oct 2013, pp.605-610
• [19] Y. Lei et al. / Mechanical Systems and Signal Processing 138 (2020) 106587
• [20] Song, T., Guangkai, L., Xinli, S., Hui, D., & Xiaohui, Y. (2012). A novel method for VSC-HVDC electromechanical transient modeling and simulation. 2012 Power Engineering and Automation Conference.