Dr. Sundaram B. Pandya is born in Vadodara, Gujarat. He received a B.E. degree in electrical engineering from the
M.S. University of Baroda, Vadodara, and an M.E degree in electrical
engineering from Gujarat Technological University, Ahmedabad. He received a Ph.D.
degree from the Sardar Vallabhbhai National Institute of Technology (S.V.N.I.T,
SURAT), Surat, India. He is currently working as a Lecturer in Shri K. J.
Polytechnic, Bharuch, India under the Gujarat Educational Services. He has more
than 10 years of experience in teaching, and he has published more than 20 technical articles in various National/International peer-reviewed journal,
such as Elsevier, Springer-Nature, IEEE, Taylor & Francis, and so on. His area of interest is the application
of artificial intelligence techniques in power systems i.e power system
engineering optimization, single and multi-objective optimization, swarm
intelligence, evolutionary algorithms, and artificial neural networks. He is
working on the applications of renewable energy resources in power system
analysis and control.
LIST OF PUBLICATIONS IN PEERED REVIEW
JOURNALS
|
Sr. No. |
Title
of Paper |
List of
All Authors as per sequence in paper |
Journal
Name |
Vol.
No. |
Year |
|
Indexed
in: Scopus/SCI |
|
1. |
Multi-objective
RIME algorithm-based techno economic analysis for security constraints load
dispatch and power flow including uncertainties model of hybrid power systems |
Sundaram
B. Pandya, Kanak Kalita,
Pradeep Jangir, Robert Cep, Hazem Migdady, Jasgurpreet Singh Chohan, Laith
Abualigah, Saurav Mallik |
Energy
Reports (Elsevier) |
Vol. (11) |
2024 |
4423-4451 |
SCIE |
|
2. |
Multi-objective Geometric
Mean Optimizer (MOGMO): A Novel Metaphor-Free Population-Based Math-Inspired
Multi-objective Algorithm |
Sundaram
B Pandya, Kanak Kalita, Pradeep Jangir, Ranjan Kumar Ghadai, Laith Abualigah |
International Journal of
Computational Intelligence Systems (Springer-Nature
Publisher) |
Vol. (17) |
2024 |
1-29 |
SCI |
|
3. |
Multi-objective liver
cancer algorithm: A novel algorithm for solving engineering design problems |
Kanak Kalita, Janjhyam
Venkata Naga Ramesh, Robert Cep, Sundaram B Pandya, Pradeep
Jangir, Laith Abualigah |
Heliyon (Elsevier) |
Vol. (10) |
2024 |
e26665 |
SCI |
|
4. |
Optimizing brushless direct current motor design:
An application of the multi-objective generalized normal distribution
optimization |
Sundaram B. Pandya, Pradeep Jangir, Miroslav
Mahdal, Kanak Kalita, Jasgurpreet Singh Chohan and Laith Abualigah |
Heliyon (Elsevier) |
Vol. (10) |
2024 |
e26369 |
SCI |
|
5. |
Multi-objective Snow
Ablation Optimization Algorithm: An Elementary Vision for Security-Constrained
Optimal Power Flow Problem Incorporating Wind Energy Source with FACTS
Devices |
Sundaram
B. Pandya, Kanak Kalita, Robert Cep, Pradeep Jangir,
Jasgurpreet Singh Chohan & Laith Abualigah |
International Journal of
Computational Intelligence Systems (Springer-Nature
Publisher) |
Vol. (17) |
2024 |
s44196-024-00415-w |
SCI |
|
6. |
Multi-objective
exponential distribution optimizer (MOEDO): a novel math-inspired
multi-objective algorithm for global optimization and real-world engineering
design problems |
Kanak Kalita, Janjhyam
Venkata Naga Ramesh, Lenka Cepova, Sundaram B. Pandya, Pradeep
Jangir & Laith Abualigah |
Scientific Reports (Springer-Nature
Publisher) |
Vol. (14) |
2024 |
1816 |
SCI |
|
7. |
A multi-objective thermal exchange
optimization model for solving optimal power flow problems in hybrid power
systems |
Sunilkumar
Agrawal, Sundaram Pandya, Pradeep Jangir, Kanak Kalita,
Shankar Chakraborty |
Decision
Analytics Journal (Elsevier) |
Vol. (8) |
2023 |
100299 |
SCOPUS |
|
8. |
MaOTLBO:
Many-objective teaching-learning-based optimizer for control and monitoring
the optimal
power flow of modern power systems |
Pradeep Jangir, Premkumar Manoharan, Sundaram
Pandya and Ravichandan Sowmya |
International Journal of Industrial
Engineering Computations |
Vol.
14(2) |
2023 |
293-308 |
SCI |
|
9. |
Multi-objective
optimization framework for optimal power flow problem of hybrid power systems
considering security constraints |
Sundaram B Pandya, Sowmya Ravichandran, Premkumar Manoharan, Pradeep Jangir, Hassan
Haes Alhelou |
IEEE Access (IEEE JOURNAL) |
Vol. (10) |
2022 |
103509-103528 |
SCI |
|
10. |
A Novel
MOGNDO Algorithm for Security-Constrained Optimal Power Flow Problems |
Sundaram
B Pandya, James
Visumathi, Miroslav Mahdal, Tapan K Mahanta, Pradeep Jangir |
Electronics (MDPI
PUBLISHERS) |
Vol. 11(22) |
2022 |
3825 |
SCI |
|
11. |
Hybrid
renewable energy resources incorporated optimal power flow using single phase
multi-group teaching learning-based optimiser |
Sundaram
B Pandya,
Hitesh R Jariwala |
International
Journal of Computer Aided Engineering and Tech (Inderscience Publishers) |
Vol. 17 (04) |
2022 |
361-387 |
SCOPUS |
|
12. |
Multi-objective
Moth Flame Optimizer: A Fundamental Visions for Wind Power Integrated Optimal
Power Flow with FACTS Devices |
Sundaram
B. Pandya,
Pradeep Jangir & Indrajit N. Trivedi |
Smart
Science (Taylor
& Francis Journal) |
Vol. 10(2) |
2022 |
118-141 |
SCI |
|
13. |
Single-and
multiobjective optimal power flow with stochastic wind and solar power plants
using moth flame optimization algorithm |
Sundaram
B. Pandya &
Hitesh R. Jariwala |
Smart
Science (Taylor
& Francis Journal) |
Vol. 10(2) |
2022 |
77-117 |
SCI |
|
14. |
A
Different Perception of Hybrid Renewable Energy Sources Integrated
Multi-Objective Optimal Power Flow considering Performance Parameters and
Penetration |
Sundaram
B. Pandya &
Hitesh R. Jariwala |
Smart
Science (Taylor
& Francis Journal) |
Vol.9 (3) |
2021 |
186-215 |
SCI |
|
15. |
Equilibrium
Optimizer: Insights, Balance, Diversity for Renewable Energy Resources Based
Optimal Power Flow with Multiple Scenarios |
Sundaram
B. Pandya &
Hitesh R. Jariwala |
Smart
Science (Taylor
& Francis Journal) |
Vol.9 (4) |
2021 |
257-274 |
SCI |
|
16. |
Stochastic
renewable energy resources integrated multi-objective optimal power flow |
Sundaram
B. Pandya &
Hitesh R. Jariwala |
Telkomnika
Journal |
Vol. 18
(3) |
2020 |
1582-1599 |
SCOPUS |
|
17. |
Stochastic
wind-thermal power plants integrated multi-objective optimal power flow |
Sundaram
B. Pandya &
Hitesh R. Jariwala |
Majlesi
Journal of Electrical Engineering |
Vol. 14
(2) |
2020 |
93-110 |
SCOPUS |
|
18. |
Stochastic
wind and solar integrated multi-objective optimal power flow using
non-dominated sort grey wolf optimizer |
Sundaram
B. Pandya &
Hitesh R. Jariwala |
Journal
of Green Engineering |
Vol. 10
(1) |
2020 |
180-205 |
SCOPUS |
|
19. |
Stochastic
wind-solar-small hydro power plant integrated multi-objective optimal power
flow using multi verse optimizer |
Sundaram
B. Pandya &
Hitesh R. Jariwala |
Journal
of Green Engineering |
Vol. 10 (3) |
2020 |
615-645 |
SCOPUS |
|
20. |
Multi-Objective
Optimal Power Flow Including FACTS Devices using Moth Flame Optimizer |
Sundaram
B. Pandya &
Hitesh R. Jariwala |
International
Journal on Emerging Technologies |
Vol. 11
(3) |
2020 |
476–485 |
SCOPUS |
|
21. |
Simulation
of D-STATCOM to study Voltage Stability in Distribution system |
S.B.
Pandya and
M.C. Chudasama |
International
Journal for Scientific Research & Development |
Vol. 1
(3) |
2012 |
510-512 |
-- |
LIST OF PUBLICATIONS IN CONFERENCES
|
Sr. No. |
Title
of Paper |
List of
All Authors as per sequence in paper |
Name of
conference and Venue |
Dates |
Vol No.
of Proc. |
Page
Nos. |
Indexed
in: Scopus/Web of Science/SCI/Any other |
|
1. |
Non-Dominated
Sorting Dragonfly Algorithm For Multi-Objectives Optimal Power Flow |
Sundaram
B. Pandya &
Hitesh R. Jariwala |
Innovations
in Power and Advanced Computing Technologies (i-PACT), Vellore, India |
22/3/2019 to 23/3/2019 |
ISBN 978-153868190-9 DOI 10.1109/i-PACT44901.2019.8960065 |
- |
WEB OF SCIENCE/ SCOPUS |
|
2. |
Multi-Objective Optimal Power Flow With
Improving Voltage Stability and Loss Minimization Using Moth Flame
Optimization Algorithm |
Sundaram
B. Pandya &
Hitesh R. Jariwala |
3rd
IEEE International Conference on Electrical, Computer and Communication
Technologies: Computer Science and Engineering, ICECCT 2019, Coimbatore, Tamil Nadu, INDIA |
20/2/2019 to 22/2/2019 |
ISBN 978-153868157-2 DOI 10.1109/ICECCT.2019.8869393 |
- |
WEB OF SCIENCE/ SCOPUS |
|
3. |
Particle swarm optimization based optimal
reactive power dispatch |
Sundaram
Pandya and
Ranjit Roy |
2015
IEEE International Conference on Electrical, Computer and Communication
Technologies (ICECCT) |
5/3/2015 to 7/3/2015 |
ISBN978-1-4799-6085-9 DOI 10.1109/ICECCT.2015.7225981 |
|
WEB OF SCIENCE/ SCOPUS |
| Sr.No. | Title of traning | Training duration | Training centre |
| 1 | Induction Training Programme Phase - I | 26/2/2018 TO 9/3/2018 (2 weeks) | NITTTR, BHOPAL |
| 2 | Induction Training Programme Phase - II | 14/1/2019 TO 25/1/2019 (2 weeks) | NITTTR, BHOPAL |
| 3 | TECHNOLOGICAL ADVANCEMENTS IN ELECTRICAL POWER SYSTEM | 11/03/2019 to 22/03/2019 (1 week) | GEC, BHARUCH |
| 4 | Computer Aided Applied Single Objective Optimization | 27/1/2020 to 20/3/2020 (1 week) | MOOC |
| 5 | Electrical Vehicle part-1 | 24/02/2020 to 20/03/2020 (1 week) | MOOC |
| 6 | Comprehensive online Intellectual property Rights(IPR) | 6/7/2020 to 14/9/2020 (2 weeks) | MOOC |
| 7 | Power quality and reliability issues for distributed energy resources in Microgrids | 28/2/2022 to 4/3/2022 (1 week) | Atal |
| 8 | Application of AI in electricall machines and Power system | 27/6/2022 to 1/7/2022 (1 week) | Atal |
Nil.
Nil
Nil..
Nil..
Nil.
Nil.
