Implementation of Voltage Sag Based Fault Localization Algorithm in Nepalese Distribution System Considering the Impact of Fault Resistances


Authors : Awnish Kumar Thakur; Sagar Dharel; Nikee Thakur; Raunak Ghimire; Rojina Sharma; Sher Singh Bhat

Volume/Issue : Volume 9 - 2024, Issue 11 - November


Google Scholar : https://tinyurl.com/mun6mzjr

Scribd : https://tinyurl.com/56s3p5f6

DOI : https://doi.org/10.5281/zenodo.14352750


Abstract : Reliability is a significant challenge in the Nepalese distribution system, primarily due to the extensive lengths of distribution feeders, some of which span over 100 km, including all branches. In such long feeders, fault localization, particularly in cases of insulator puncture or tree contact, takes considerable time, delaying fault clearance and service restoration. This paper proposes a novel voltage sag-based fault localization algorithm tailored for the Nepalese distribution system. The algorithm utilizes both synchronized and non-synchronized time measurement devices to compare calculated and measured voltage sag errors for accurate fault distance estimation. The method was validated using simulations of a real Nepalese distribution system in OpenDSS and Python. Results demonstrate that the maximum error in calculated fault distances compared to actual fault locations was 3.01% for bolted faults. This approach provides a reliable and efficient solution for fault localization, significantly enhancing system reliability and fault response times in the Nepalese context.

Keywords : Fault Location, Open Source Software, Synchronised Time Meaurement, OpenDSS, Voltage Sag.

References :

  1. Lotfifard, Saeed and Kezunovic, Mladen and Mousavi, Mirrasoul J, "Voltage sag data utilization for distribution fault location," IEEE Transactions on Power Delivery, vol. 26, pp. 1239--1246, 2011.
  2. Chen, Po-Chen and Malbasa, Vuk and Dong, Yimai and Kezunovic, Mladen, "Sensitivity analysis of voltage sag based fault location with distributed generation," IEEE Transactions on Smart Grid, vol. 6, pp. 2098--2106, 2015.
  3. Souhe, Felix Ghislain Yem and Boum, Alexandre Teplaira and Ele, Pierre and Mbey, Camille Franklin and Kakeu, Vinny Junior Foba and others, "Fault detection, classification and location in power distribution smart grid using smart meters data," Journal of Applied Science and Engineering, vol. 26, pp. 23--24, 2022.
  4. Jamali, Sadegh and Bahmanyar, Alireza and Bompard, Ettore, "Fault location method for distribution networks using smart meters}," Measurement, vol. 102, pp. 150-157, 2017.
  5. Dong, Yimai and Zheng, Ce and Kezunovic, Mladen, "Enhancing accuracy while reducing computation complexity for voltage-sag-based distribution fault location," IEEE Transactions on Power Delivery, vol. 28, pp. 1202--1212, 2013.
  6. Buzo, Ricardo Fonseca and Barradas, Henrique Molina and Le{\~a}o, F{\'a}bio Bertequini, "A new method for fault location in distribution networks based on voltage sag measurements," IEEE Transactions on Power Delivery, vol. 36, pp. 651--662, 2020.
  7. Majidi, Mehrdad and Etezadi-Amoli, Mehdi, "A new fault location technique in smart distribution networks using synchronized/nonsynchronized measurements," IEEE Transactions on Power Delivery, vol. 33, pp. 1358--1368, 2017.
  8. Team, Jupyter Development, "Folium: Python data, leaflet.js maps".

Reliability is a significant challenge in the Nepalese distribution system, primarily due to the extensive lengths of distribution feeders, some of which span over 100 km, including all branches. In such long feeders, fault localization, particularly in cases of insulator puncture or tree contact, takes considerable time, delaying fault clearance and service restoration. This paper proposes a novel voltage sag-based fault localization algorithm tailored for the Nepalese distribution system. The algorithm utilizes both synchronized and non-synchronized time measurement devices to compare calculated and measured voltage sag errors for accurate fault distance estimation. The method was validated using simulations of a real Nepalese distribution system in OpenDSS and Python. Results demonstrate that the maximum error in calculated fault distances compared to actual fault locations was 3.01% for bolted faults. This approach provides a reliable and efficient solution for fault localization, significantly enhancing system reliability and fault response times in the Nepalese context.

Keywords : Fault Location, Open Source Software, Synchronised Time Meaurement, OpenDSS, Voltage Sag.

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe