The Optimal Placement of Electric Vehicle Fast Charging Stations in the Electrical Distribution System with Randomly Placed Solar Power Distributed Generations

Authors

  • Fareed Ahmad Department of Electrical Engineering, Aligarh Muslim University, Uttar Pradesh, India
  • Atif Iqbal Department of Electrical Engineering, Qatar University, Doha, Qatar
  • Imtiaz Ashraf Department of Electrical Engineering, Aligarh Muslim University, Uttar Pradesh, India
  • Mousa Marzband Department: Mathematics, Physics, and Electrical Engineering, Northumbria University, UK
  • Irfan Khan Clean and Resilient Energy Systems (CARES) Lab, Texas A&M University, Galveston, USA

DOI:

https://doi.org/10.13052/dgaej2156-3306.37416

Keywords:

Charging stations, electric vehicle population, land cost, improved bald eagle search algorithm, optimal placement.

Abstract

The growing use of electric vehicles (EVs) in today’s transport sector is
gradually reducing the use of petroleum-based vehicles. However, as EV
penetration grows, the EV’s demand influences distribution network parameters
such as power loss, voltage profile. Therefore, an improved bald eagle
search (IBES) algorithm is suggested for the optimal placement of FCSs
into the distribution network with high penetration of randomly distributed
solar power generation (SPDG). This study suggests a two-stage approach
for placing FCSs. The charging station investor decision index (CSIDI) was introduced in the first stage, taking into account the land cost index (LCI)
and the electric vehicle population index (EVPI). The CSIDI was developed
to decrease land costs while increasing EV population for FCS installation.
In the next one, an optimization problem is constructed to minimize total
active power loss while taking distribution system operator (DSO) constraints
into consideration. The IEEE-34 bus distribution system is used as the
proposed network. The simulation is carried out in MATLAB to integrate
the EVCSs in three cases in the distribution network with SPDGs randomly
placed. Therefore, The IBES found the best optimal positions with a power
loss of 198.43 kW. When compared to the PSO technique, the IBES technique
has a reduced average power loss of 2.02%.

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Author Biographies

Fareed Ahmad, Department of Electrical Engineering, Aligarh Muslim University, Uttar Pradesh, India

Fareed Ahmad received his master’s degree in Electrical Engineering
(M.Tech) in the specialization of instrumentation and control in 2016 from
Aligarh Muslim University, Aligarh, India, and Bachelor of Engineering
(B.Tech) degree in Electrical Engineering from Gautama Buddha Technical
University (GBTU), India in 2013. Currently, he is a Research Scholar (Ph.D.
candidate) in the Electrical Engineering Department of Zakir Hussain College
of Engineering & Technology at Aligarh Muslim University, India.

Atif Iqbal, Department of Electrical Engineering, Qatar University, Doha, Qatar

Atif Iqbal, Fellow IET (UK), Fellow IE (India) and Senior Member IEEE,
Vice-Chair, IEEE Qatar section, DSc (Poland), Ph.D. (UK) – Associate
Editor, IEEE Trans. On Industrial Electronics, IEEE ACCESS, Editor-in-
Chief, I ‘manager Journal of Electrical Engineering, Former Associate Editor
IEEE Trans. On Industry Application, Former Guest Associate Editor IEEE
Trans. On Power Electronics. Full Professor at the Dept. of Electrical
Engineering, Qatar University and Former Full Professor at the Dept. of
Electrical Engineering, Aligarh Muslim University (AMU), Aligarh, India.
Recipient of Outstanding Faculty Merit Award academic year 2014–2015
and Research excellence awards 2015 and 2019 at Qatar University, Doha,
Qatar. He received his B.Sc. (Gold Medal) and M.Sc. Engineering (Power
System & Drives) degrees in 1991 and 1996, respectively, from the Aligarh
Muslim University (AMU), Aligarh, India, and Ph.D. in 2006 from Liverpool
John Moores University, Liverpool, UK. He obtained DSc (Habilitation)
from Gdansk University of Technology in Control, Informatics and Electrical
Engineering in 2019. He has been employed as a Lecturer in the Department
of Electrical Engineering, AMU, Aligarh since 1991 where he served as Full
Professor until Aug. 2016. He is recipient of Maulana Tufail Ahmad Gold
Medal for standing first at B.Sc. Engg. (Electrical) Exams in 1991 from
AMU. He has received several best research papers awards e.g. at IEEE
ICIT-2013, IET-SEISCON-2013, SIGMA 2018, IEEE CENCON 2019, IEEE
ICIOT 2020, ICSTEESD-20 and Springer ICRP 2020. He has published
widely in International Journals and Conferences his research findings related
to Power Electronics, Variable Speed Drives and Renewable Energy Sources.
Dr. Iqbal has authored/co-authored more than 450 research papers and four
books and several chapters in edited books. He has supervised several large
R&D projects worth more than multimillion USD. He has supervised and
co-supervised several Ph.D. students. His principal area of research interest
is Smart Grid, Complex Energy Transition, Active Distribution Network,
Electric Vehicles drivetrain, Sustainable Development and Energy Security,
Distributed Energy Generation and multiphase motor drive system.

Imtiaz Ashraf, Department of Electrical Engineering, Aligarh Muslim University, Uttar Pradesh, India

Imtiaz Ashraf was born in India in 1965. He received his B. Sc. Engg. and
M.Sc. Engg. (Electrical Engineering) degrees in 1988 and 1993 respectively
from Zakir Husain College of Engineering and Technology, Aligarh Muslim
University (AMU), Aligarh, India. He received his Ph.D. degree from the
Indian Institute of Technology, Delhi, India in 2005. Presently he is a Professor
and Chairman in Electrical Engineering Department, AMU, Aligarh,
India. His area of interest is Energy Systems, Electrical Power Systems,
Energetics, Economics and Environmental assessment of renewable energy
sources.

Mousa Marzband, Department: Mathematics, Physics, and Electrical Engineering, Northumbria University, UK

Mousa Marzband (Senior Member, IEEE) received a Ph.D. degree in power
system engineering from the Universitat Politècnica de Catalunya (UPC), in
2014. Following that, he started a Postdoctoral Fellowship at the University
of Manchester (UoM), and the University College Cork’s Environmental
Research Institute and Marine and Renewable Energy (MaREI) Ireland. Since
August 2017, he has been appointed as an Assistant Professor (Lecturer)
with the Department of Mathematical, Physics and Electrical Engineering,
Northumbria University, the U.K., where he is currently a Senior Lecturer.
In addition, he received the Distinguished Adjunct Professor Award from the
Engineering School, King Abdulaziz University, in 2019.

Irfan Khan, Clean and Resilient Energy Systems (CARES) Lab, Texas A&M University, Galveston, USA

Irfan Khan (Member, IEEE) received a Ph.D. degree in electrical and computer
engineering from Carnegie Mellon University, USA. He is currently an
Assistant Professor of Practice with the Electrical and Computer Engineering
Department, Texas A&M University (TAMU), TX, USA. He has published
more than 20 refereed journal and conference papers in smart energy systems
related areas. His current research interests include control and optimization
of smart energy networks, optimization of energy storage systems, DC micro
grids, smart grids, and renewable energy resources. He is a member of PES.
He is the Vice Chair for the IEEE PES Joint Chapter of Region 5 Galveston
Bay Section (GBS), where his responsibilities are to organize presentations,
invite renowned experts from power and energy background for presentations
to GBS members. He is the Registration Chair at the IEEE sponsored
International Symposium on Measurement and Control in Robotics that was
organized at the University of Houston Clear Lake on September 19–21,
2019. He is an active Reviewer of many esteemed journals and conferences,
including the IEEE Transactions on Power Systems, the IEEE Transactions
on Smart Grids, IEEE Access, the IEEE Transactions on Industry Application
Systems, IET Smart Grids, Electrical Power Components and Systems, and
Energies.

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Published

2022-05-06

How to Cite

Ahmad, F., Iqbal, A., Ashraf, I., Marzband, M., & Khan, I. (2022). The Optimal Placement of Electric Vehicle Fast Charging Stations in the Electrical Distribution System with Randomly Placed Solar Power Distributed Generations. Distributed Generation &Amp; Alternative Energy Journal, 37(4), 1277–1304. https://doi.org/10.13052/dgaej2156-3306.37416

Issue

2022: Vol 37 Iss 4

Section

Articles