IEEE Power Electronics Magazine - September 2020 - 67

devices. The system monitors the
function of equipment and alerts
users when maintenance is required.
In [5], fault ranking in a solar standalone system based on AI technology
is developed. The developed intelligent technique focusses on the reliability and safety of the integrated
photovoltaic system and reduces the
risk of fault by taking prior corrective action.
Another concern is energy storage. The energy storage systems have
been recognized as viable solutions
for implementing the smart grid paradigm, providing features in load levelling, integrating renewable and intermittent sources, voltage and frequency regulation, grid resiliency,
improving power quality and reliability, reducing energy import during
peak demand periods, and so on.
Indeed, energy storage greatly helps
to solve issues related to the intermittent renewable energy sources,
because of the irregular alternation
of production phases with non-producing periods. Integrating the intelligent system with power electronic
conver ter control strategy in a
microgrid with energy storage can
provide a reliable energy allocation, providing features in
load levelling, integrating
renewable and intermittent
sources, voltage and frequency
regulation, grid resiliency,
improving power quality and
reliability and reducing energy
imports during peak demand
periods [6]. Therefore, helps
the renewable energy resources based microgrid to manage
the internal energy needs when
integrated with the main grid
in terms of power exchange.
In the integration of renewable energ y resou rce
with A I, a r tificial intelligence allows making transfor mations in trad itiona l
control strategies to build
up an advanced modern efficient control strategy, thereby c r e ati ng h a s s l e - f r e e
i nt el l i g e n t c o n t rol tech-

niques for the effective operation
of renewable energy systems.

pects, challenges, employment, and investment
opportunities," Energy, Sustain. Soc., vol. 10, no.
1, pp. 2-36, 2020. doi: 10.1186/s13705-019-0232-1.

About the Author

[2] "Annual Energy Outlook 2019 with projec-

Sitharthan Ramachandran
received his B.E. degree in Electrical
and Electronics Engineering, M.E.
degree in Power Systems Engineering,
and Ph.D. degree in Electrical Engineering from the Anna University,
India, in 2010, 2012, and 2016, respectively. He is an assistant professor in
the School of Electrical Engineering,
Vellore Institute of Technology, Vellore,
Tamil Nadu, India. He has completed a
research funded project as a principal
investigator under the ECRA scheme,
Science and Engineering Research
Board, Department of Science and
Technology, Government of India. He
has published research articles in refereed journals and received two patents.
His research interests include renewable energy systems, artificial intelligence-based control methodology,
FACTS devices, soft computing techniques, and piezoelectric materials.

tions to 2050," U.S. Energy Information Admin-

References

ACCESS.2019.2963584.

istration. Accessed on: July 4, 2020. [Online].
Available: https://www.eia.gov/outlooks/aeo/pdf/
aeo2019.pdf
[3] Y. Wang, P. Luo, X. Zeng, D. Peng, Z. Li, and
B. Zhang, "A neural network assistance AMPPT
solar energy harvesting system with 89.39%
efficiency and 0.01-0.5% tracking errors," IEEE
Trans. Circuits Syst., May 2020. doi: 10.1109/
TCSI.2020.2990740.
[4] M. Chu, X. Liao, H. Li, and S. Cui, "Power control in energy harvesting multiple access system
with reinforcement learning," IEEE Internet
Things J., vol. 6, no. 5, pp. 9175-9186, 2019. doi:
10.1109/JIOT.2019.2928837.
[5] S. Perveen, H. Ashfaq, and M. Asjad, "Fault
ranking in PV module based on artificial intelligence technique (AIT)," in Proc. IEEE Int. Conf.
Power Electronics, Control and Automation
(ICPECA), Nov. 2019, pp. 1-6.
[6] B. S. Sami, "Intelligent energy management for off-grid renewable hybrid system
using multi-agent approach," IEEE Access,
vol. 8, pp. 8681-8696, 2020. doi: 10.1109/

[1] M. A. Majid, "Renewable energy for sustainable
development in India: Current status, future pros-

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IEEE Power Electronics Magazine - September 2020

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