ANN-Based Statistical Computation for Remote End Fault Monitoring of the IEEE 14 Bus Microgrid Network

Abstract

This paper focuses on an artificial neural network-based fog computing approach for remote end fault super vision in microgrid systems. The work presented here considers an Artificial Neural Network-based adaptive Line-to-Ground (L-G) and Line-to-Line (L-L) fault monitoring system for a standard IEEE 14 bus microgrid. Discrete Wavelet Transformation (DWT)-based study of statistical parameters of the currents going out from the various generator buses is carried out both in healthy and faulty situations. Faults (L-G and L-L) are created at different load buses and also an algorithm is proposed for detecting fault location. The rule set proposed here is unaffected by variations in fault resistance, making it very much suitable for ground fault monitoring. It provided satisfactory results when examined with various unknown cases. A fog computing layer helps in fast execution and fewer data storage requirements in the cloud. This assessment may be expanded for other kinds of faults in a microgrid system.

KEYWORDS:

• Artificial neural network (ANN)
• Discrete wavelet transform (DWT)
• Fog computing
• Line-to-ground (L-G) fault
• Line-to-line (L-L) fault
• Microgrid system

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Sagnik Datta

Sagnik Datta was born in Serampore, Hooghly, West Bengal, India on October 7, 1985. He obtained the BTech degree in electrical engineering from West Bengal University of Technology in 2008, and then an ME in illumination engineering from the Electrical Engineering Department of Jadavpur University in 2013. Presently, he is assistant professor in the Department of Electrical Engineering of Supreme Knowledge Foundation Group of Institution, Mankundu, West Bengal, India. His field of interest includes electrical fault diagnosis, power system protection, and signal analysis. Corresponding author. Email: [email protected]

Aveek Chattopadhyaya

Aveek Chattopadhyaya was born in Hooghly, West Bengal, India on 2 May 1985. He obtained the BTech degree in electrical engineering from West Bengal University of Technology in 2007, and then ME in electrical engineering from the Electrical Engineering Department of Bengal Engineering and Science University in 2009, and a PhD (Tech) from the Department of Applied Physics of University of Calcutta in 2017. He has authored/coauthored around 45 papers published in international and national journals and conferences. Presently, he is assistant professor in the Department of Electrical Engineering of Guru Nanak Institute of Technology, Kolkata, India. His field of interest includes electrical fault diagnosis, power system protection, power quality and signal processing. Email: [email protected]

Surajit Chattopadhayay

Surajit Chattopadhyay was born in Hooghly, West Bengal, India on 9 February 1978. He obtained BSc degree in physics from Ramakrishna Mission Vidyamandir (Belurmath), University of Calcutta in 1998, and then BTech, MTech, in electrical engineering, and PhD (technology) degrees from the Department of Applied Physics of University of Calcutta in 2001, 2003, and 2010, respectively. He obtained CEng from Engineering Council, UK in 2013. He has authored/coauthored around 120 papers and three books. Presently, he is associate professor in the Department of Electrical Engineering at Ghani Khan Choudhury Institute of Engineering and Technology (under the Ministry of HRD, Govt. of India). He is former Hony Secretary and present CCSA member of the Institution of Engineering and Technology (UK), Kolkata Network. His field of interest includes electric power quality, fault diagnosis, power system protection, signal analysis, robotics application and UAV. Email: [email protected]

Arabinda Das

Arabinda Das was born in 1966. Presently he is associate professor in the Electrical Engineering Department, Jadavpur University, India. Before joining Jadavpur University in 1999 he was working as lecturer at Regional Engineering College (presently NIT, Durgapur), Durgapur, India since 1996. He obtained his BTech, MTech, and PhD (Tech.) degrees in 1990, 1992, and 2000, respectively in electrical machines and power system from the University of Calcutta. His field of interest is the application of microprocessor/microcontroller in electrical engineering and modelling and simulation of electrical systems. He has guided many students leading to PhD and published several research articles in national and international journals and conferences. He is the recipient of the Railway Board Prize, The Union Ministry of Energy — Department of Power Medal, The Corps of Electrical and Mechanical Engineers Medal from The Institution of Engineers (India), etc. He is the Fellow of The Institution of Engineers (India) and the Fellow of The Institution of Electronics and Telecommunication Engineers. Email: [email protected]