Automatic Fault Localization and Isolation in Power Distribution Network by Decision Support Method

Satya  PRAKASH; Manoj  HANS; Vikas  THORAT

doi:10.48048/wjst.2021.8982

Authors

Satya PRAKASH Department of Electrical Engineering, Zeal College of Engineering & Research, India
Manoj HANS Department of Electrical Engineering, Zeal College of Engineering & Research, India
Vikas THORAT Department of Electrical Engineering, Zeal College of Engineering & Research, India

DOI:

https://doi.org/10.48048/wjst.2021.8982

Keywords:

Fault Location, Fault Isolation, Distribution Grid, Faulty Feeder, FLISR

Abstract

The power distribution network has grown complex and vulnerable as it increases its demand. The system's reliability has become a prominent factor for the end-users, although the continuity of supply in the distribution network still remains a challenge. In order to achieve the same distribution, automation came into the picture. The term “Distribution Automation” usually refers to an advanced switching system, which works as a subsystem of the existing network. The purpose of the subsystem is to offer real-time observation and control in distribution networks and electricity market operations. Consequently, the development of an autonomous system for isolating failures and restoring power for the distribution of LV (low voltage)/MV (medium voltage) can be an attractive solution for improving energy facilities' reliability. Advanced management techniques are devices and algorithms used to analyze, diagnose, and predict conditions in a distribution network, as well as to identify and take appropriate corrective actions to eliminate, mitigate, and prevent power outages and power quality problems. To demonstrate the model, we used a PIC16F877, CT microcontroller, and a power supply unit.

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References

M Sarwar, F Mehmood, M Abid, AQ Khan, ST Gul and AS Khan. High impedance fault detection and isolation in power distribution networks using support vector machines. J. King Saud Univ. Eng. Sci. 2020; 32, 524-35.

SZ Jamali, SBA Bukhari, O Khan, K Khawaja, M Mehdi, CH Noh and CH Kim. A high-speed fault detection, identification, and isolation method for a last mile radial LVDC distribution network. Energies 2018; 11, 2901.

R Doraiswami and C Lahouari. Fault detection and isolation. Fault Diagnosis and Detection. IntechOpen, London, 2017, p. 534-80.

PM Papadopoulos, L Hadjidemetriou, E Kyriakides and MM Polycarpou. Robust Fault Detection, Isolation, and Accommodation of Current Sensors in Grid Side Converters. IEEE Trans. Indust. Appl. 2016; 53, 2852-61.

M Bollen, R Das, SZ Djokic, P Ciufo, J Meyer, SK Rönnberg and F Zavodam. Power quality concerns in implementing smart distribution-grid applications. IEEE Trans. Smart Grid 2016; 8, 391-9.

V Madani, R Das, F Aminifar, J McDonald, S Venkata, D Novosel, A Bose and M Shahidehpour. Distribution automation strategies challenges and opportunities in a changing landscape. IEEE Trans. Smart Grid 2015; 6, 2157-65.

OK Siirto, A Safdarian, M Lehtonen and M Fotuhi-Firuzabad. Optimal distribution network automation considering earth fault events. IEEE Trans. Smart Grid. 2015; 6, 1010-8.

X Yin, CC Liu, KP Schneider and DT Ton. Toward a resilient distribution system. In: Proceedings of the 2015 IEEE Power & Energy Society General Meeting, Denver, Colorado, 2015, p. 1-5.

J Liu, H Gao, Z Ma and Y Li. Review and prospect of active distribution system planning. J. Modern Power Syst. Clean Energ. 2015; 3, 457.

R Das, V Madani, F Aminifar, JM Donald, SS Venkata, D Novosel, A Bose and M Shahidehpour. Distribution automation strategies: Evolution of technologies and the business case. IEEE Trans. Smart Grid. 2015; 6, 2166-75.

JR Rostron. 2014, High-impedance fault detection and isolation system, U.S. Patent 8,861,155.

S Vimalraj and P Somasundaram. Fault detection, isolation and identification of fault location in low-voltage DC ring bus microgrid system. Int. J. Adv Res Electr. Electron. Instrum. Eng. 2014; 3, 570-82.

S Prakash and SC Gupta. Fuzzy logic based trained fault locating mechanism in power distribution network. Int. J. Emerg. Technol. Adv. Eng. 2012; 7, 2250-459.

A Tanwani, AD Domínguez-García and D Liberzon. An inversion-based approach to fault detection and isolation in switching electrical networks. IEEE Trans. Control Syst. Technol. 2010; 19, 1059-74.

H Po, R Karki and R Billinton. Reliability evaluation of generating systems containing wind power and energy storage. IET Generat. Transmiss. Distribut. 2009; 8, 783-91.

TS Sidhu and PK Gangadharan. Control and automation of power system substation using IEC61850 communication. In: Proceedings of the 2005 IEEE Conference on Control Applications, Toronto, Canada. 2005, p. 1331-6.

RE Brown, AP Hanson, HL Willis, FA Luedtke and MF Born. Assessing the reliability of distribution systems. IEEE Comput. Appl. Power 2001; 14, 44-9.

JL Aravena and FN Chowdhury. A new approach to fast fault detection in power systems. In: Proceedings of International Conference on Intelligent System Application to Power Systems, Orlando, USA, 1996, p. 328-32.

D Gruenemeyer. Distribution automation: How should it be evaluated? In: Proceedings of the 35th Annual Conference of Rural Electric Power Conference. Dearborn, USA, 1991, p. C3-1.

SL Purucker, RJ Thomas and LD Monteen. Feeder automation designs for installing an integrated distribution control system. IEEE Trans. Power Apparatus Syst. 1985; PAS-104, 2929-34.