Adaptive Power Quality for Power Management Units using Smart Technologies

This book covers issues associated with smart systems due to the presence

of onboard nonlinear components. It discusses the advanced architecture

of smart systems for power management units. It explores issues of power

management and identifies hazardous signals in the power management

units of smart devices. It

 

• Presents adaptive artificial intelligence and machine learning-based

control strategies.

• Discusses advanced simulations and data synthesis for various power

management issues.

• Showcases solutions to the uncertainty and reliability issues in power

management units.

• Identifies new power quality challenges in smart devices.

• Explains hybrid active power filters, shunt hybrid active power filters,

and the industrial internet of things in power quality management.

 

This book comprehensively discusses advancements of traditional electrical

grids, the benefits of smart grids to customers and stakeholders, properties

of smart grids, smart grid architecture, smart grid communication, and

smart grid security. It further covers the architecture of advance power management

units (PMU) of smart devices, and the identification of harmonic

distortions with respect to various sensor-based technology. It will serve as

an ideal reference text for senior undergraduate and graduate students, and

academic researchers in fields including electrical engineering, electronics,

communications engineering, and computer engineering.

Arti Vaish

is a professor in the Department of Computer Engineering,

School of Engineering and Technology at O. P. Jindal University, Raigarh,

CG, India. She earned her PhD degree from Netaji Subhash Institute of

Technology, Delhi University, New Delhi, India (2012). She has registered

20 patents and published and presented more than a hundred research

papers in SCI indexed/Scopus indexed international journals and at

international and national conferences. She has authored six books. She

has over 18 years of rich experience in academia and research. She is a

recipient of the 2021 Who’s Who in the World® Lifetime Achievement

Award and was successfully nominated as a candidate for the 2018–2021

edition of Who’s Who in America. She received an academic excellence

award from WeGrow and the Ministry of Micro, Small and Medium

Enterprises (MSME) in 2020 and the best researcher award in 2020 from

the Institute of Technical and Scientific Research (ITSR) Foundation. She

had guided six PhD students. Dr Arti has been a reviewer for several

archived journals at the international level: Progress in Electromagnetic

Research, Wireless Personal Communication, the IETE Journal of

Research, and WSEAS Transactions, to name a few of them.

 

Pankaj Kumar Goswami

earned B.Tech., M.Tech, and PhD degrees in the

area of Electronic Engineering and has 15 years of teaching experience

in reputed organisations. He has more than 30 international publications

in peer-reviewed journals, including IEEE Explore, which are Scopus and

SCI indexed. His main areas of research are machine learning, the internet

of things, wideband antenna designs, cognitive radios, and power quality

issues in non-linear electronic devices. He has organised several national

and international conferences, symposia, and webinars. Dr Goswami has

also registered several patents in the fields of antenna design, the internet

of things, and machine-learning-based applications under the Intellectual

Property Rights of the Government of India. He is an e-educator in the

field of machine learning using Python. He is actively associated in NAAC

SSR preparations at university interfaces and has visited several times the

SAARC countries of Nepal, Bhutan, the seven sisters (Arunachal Pradesh,

Assam, Manipur, Meghalaya, Mizoram, Nagaland, and Tripura), and the

“brother” state Sikkim for various academic promotional activities. He

is a professional member of several national and international bodies

such as, IEEE, IETE and ISTE. Dr Goswami has been involved in various

educational outreach activities through online sessions on artificial intelligence,

machine learning, and smart antennas.

 

Surbhi Bhatia

holds a doctorate in Computer Science and Engineering from

Banasthali University, which she earned in 2018 in the area of machine

learning and social media analytics. She earned project management professional

certification from the Project Management Institute, USA. She

is currently an assistant professor in the Department of Data Science,

School of Science, Engineering and Environment, University of Salford,

Manchester, United Kindgom. She has more than ten years of teaching

experience in different universities in India and Saudi Arabia. She is also

a consultant in the Research Lab, India. She is an editorial board member

for the International Journal of Hybrid Intelligence and for SN Applied

Sciences. She has registered eight national and international patents in

India, Australia, and the USA. She has published many papers in reputed

journals and in high indexing databases (SCI, SCIE, Scopus, Web of

Science, ESCI). She currently serves as a guest editor of special issues for

the journals SN Applied Sciences, Computer, Materials and Continua,

and Internet of Things. She has delivered talks as a keynote speaker at

IEEE conferences and in faculty development programmes. She has conducted

workshops for All India Council for Technical Education (AICTE)

programmers and chaired technical sessions at many conferences. She has

authored two books published by Springer and Wiley. She has also edited

seven books with CRC Press, Elsevier, and Springer. She was selected

for the prestigious “Best Young National Award” by the IRDP group of

journals in India. She has had many projects approved by the Ministry

of Education, Saudi Arabia and holds a Deanship of Scientific Research

in Saudi Arabia and DST, India. Her areas of interest are Data Mining,

Machine Learning, Sentiment Analysis, Natural Language Processing,

and Data Analytics.

 

Mokhtar Shouran

earned a BSc degree in Control Engineering from the

College of Electronic Technology, Bani Walid, Libya, in 2011. He earned

an MSc degree with distinction in Electronics and Information Technology

from the University of South Wales, Treforest, UK, in 2017. He was also

awarded a certificate of excellence. Shouran is currently pursuing a PhD

degree in Load Frequency Control in Power Systems at the Wolfson

Centre for Magnetics, Cardiff University, Cardiff, UK. His research interests

include Optimisation Algorithms, Fuzzy Logic Control, Sliding Mode

Control, Traditional Control, and Power System Stability and Control.