An Accurate Nonintrusive Type AC Voltage Measurement System

Authors

  • Anwar Ulla Khan Department of Electrical Engineering Technology, CAIT, Jazan University, Jazan, Saudi Arabia
  • Mashhood Hasan Department of Electrical Engineering Technology, CAIT, Jazan University, Jazan, Saudi Arabia
  • Mohammad Ehtisham Khan Department of Chemical Engineering Technology, CAIT, Jazan University, Jazan, Saudi Arabia
  • Wahid Ali Department of Chemical Engineering Technology, CAIT, Jazan University, Jazan, Saudi Arabia
  • Waleed Alhazmi Department of Mechanical Engineering, Jazan University, Jazan, Saudi Arabia
  • Waleed Zakri Department of Mechanical Engineering, Jazan University, Jazan, Saudi Arabia

DOI:

https://doi.org/10.13052/dgaej2156-3306.37415

Keywords:

Capacitive sensor, non-intrusive voltage measurement, capacitance-to digital convertor, power system.

Abstract

In this work, a completely non-intrusive type alternating current (a.c) voltage
measurement system based on the novel capacitively coupled technique is
proposed. In literature, most of the reported capacitive coupling technique
require a direct contact of sensor to the ground potential of power system.
Human operator, whose body is in contact with the ground must touch the
capacitive sensor to provide the power system ground. The reliability of
those types of approach is limited, as the human operator must be in direct
contact to a conductive part of the sensor. Also, there is the effect of nature of
impedance exist between the body of the human operator and the ground,
which is not taken care by most of the existing methods. In this work, a new method regardless of the variations in the impedance exist between the
measurement unit and the ground potential through the earth, is proposed.
Simulation analysis has been conducted in detail to validate the proposed
approach. A prototype measurement system has been developed and then
tested for a line voltage (200 to 250 V), at 60 Hz. The capacitance output
w.r.t applied voltage was linear and the worst-case non-linearity error was
recorded as

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Author Biographies

Anwar Ulla Khan, Department of Electrical Engineering Technology, CAIT, Jazan University, Jazan, Saudi Arabia

Anwar Ulla Khan received the M. Tech degree from Aligarh Muslim
University, Aligarh, India, in 2011. He has Ph.D. degree from the Jamia
Millia Islamia (Central University), New Delhi, India, in 2017. He is currently
working as an Assistant Professor in the Department of Electrical
Engineering Technology, College of Applied Industrial Technology (CAIT),
Jazan University, Jazan, Kingdom of Saudi Arabia. His research interests
include sensors, microcontroller-based signal conditioning circuits, health
monitoring of electrical assets in smart grid and Internet of things (IoT).

Mashhood Hasan, Department of Electrical Engineering Technology, CAIT, Jazan University, Jazan, Saudi Arabia

Mashhood Hasan received the B.Eng. degree in electrical engineering from
Jamia Millia Islamia University, India, in 2003 and the M.Tech. and Ph.D.
degrees in electric power engineering from same university, in 2009 and
2016, respectively. Currently, he is an Assistant Professor at the Department
of Electrical Engineering, College of Applied Industrial Technology
(CAIT), Jazan University. His research interests include renewable energy,
power quality, high quality utility interface, power electronics, power generation,
power grids, power supply quality, power transmission reliability, and
artificial intelligence applied power system.

Mohammad Ehtisham Khan, Department of Chemical Engineering Technology, CAIT, Jazan University, Jazan, Saudi Arabia

Mohammad Ehtisham Khan received doctorate degree in Chemical Engineering
from Yeungnam University, the Republic of Korea in 2017 and
presently working as an Assistant Professor and Head of the Department in
Chemical Engineering Technology at Jazan University, Kingdom of Saudi
Arabia. Dr. Khan is working in the cutting-edge area of nanosciences
and nanotechnology, especially inorganic materials, such as, the fabrication
of metal-metal oxides and carbon-based nanoparticles/nanocomposites for
sensing, dyes degradation, and water treatment application. Dr. Khan has
35 publications in international peer-reviewed journals, conference proceedings,
and Editing 3 books in Elsevier, 12 book chapters.

Wahid Ali, Department of Chemical Engineering Technology, CAIT, Jazan University, Jazan, Saudi Arabia

Wahid Ali received doctorate degree in Chemical Engineering from Yeungnam
University, Rep. of South Korea in 2018. He did his Master of Technology
in 2011 and Bachelor of Technology in 2007 both from Aligarh
Muslim University, Aligarh India. Dr. Ali is currently serving as an Assistant
Professor in the Department of Chemical Engineering Technology, College of
Applied Industrial Technology (CAIT) Jazan University, Jazan, Kingdom of
Saudi Arabia. His research work belongs to the Process System Engineering
area. His research interests are Process modelling & simulation of chemical
processes, optimization, and surrogate modelling.

Waleed Alhazmi, Department of Mechanical Engineering, Jazan University, Jazan, Saudi Arabia

Waleed Al Hazmi received the Master of Engineering degree from Australian
National University, Australia, in 2007. He has Ph.D. degree from
Polytechnic University in Madrid, Spain, in 2017. He is currently working as
an Assistant Professor in the Department of Mechanical Engineering, Jazan
University, Jazan, Kingdom of Saudi Arabia. His research interests include
solid mechanics.

Waleed Zakri, Department of Mechanical Engineering, Jazan University, Jazan, Saudi Arabia

Waleed Zakri joined Mechanical Engineering Department at Jazan University
in 2009. Before getting his PhD from The university of Akron in 2018, he
served their as a research assistant and completed more than 10 peer-reviewed
research articles in the top-tier reviewed journals and majors international
conferences. His research expertise is in engineering power and energy
systems.

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Published

2022-05-06

How to Cite

Khan, A. U., Hasan, M., Khan, M. E., Ali, W., Alhazmi, W., & Zakri, W. (2022). An Accurate Nonintrusive Type AC Voltage Measurement System. Distributed Generation &Amp; Alternative Energy Journal, 37(4), 1259–1276. https://doi.org/10.13052/dgaej2156-3306.37415

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