The reference text discusses the latest optimization techniques for Microgrid 4.0, including convex optimization, metaheuristic optimization, and machine learning-based optimization. It covers the latest power electronics technologies for microgrid 4.0, including DC-DC converters, DC-AC inverters, and solid-state transformers.
The reference text discusses the latest optimization techniques for Microgrid 4.0, including convex optimization, metaheuristic optimization, and machine learning-based optimization. It covers the latest power electronics technologies for microgrid 4.0, including DC-DC converters, DC-AC inverters, and solid-state transformers.
This book:
- Discusses the significance of the industry 4.0 revolution for enhancing the control and operations of microgrids with an objective of sustainability and resilience.
- Presents the role of renewable energy in microgrids for clean and sustainable energy.
- Covers topics such as advanced control, communication, optimization, power electronics, and energy storage.
- Explains the latest advancements in control techniques for Microgrid 4.0, including hierarchical and decentralized control, model predictive control, and fuzzy logic control.
- Highlights the economic analysis of Microgrid 4.0, including cost-benefit analysis, life cycle assessment, and business models.
It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, environmental engineering, and energy engineering.
1. Autonomous Microgrid System Using Smart Python Agents.
2. Effects of
ESS parameters contributing in frequency contingency support on microgrid
frequency stability.
3. A Novel Centralized Control Scheme for Islanded DC
Microgrid.
4. Decentralized Control Strategy of Grid Connected DC Microgrid
with Energy Storage System.
5. Blockchain-Based Approach for Mitigating
Malicious Load Shedding in Microgrids.
6. Resilience Enhancement in Networked
Microgrid with Multistage Control Mechanism.
7. Optimization Techniques for
Microgrid 4.0.
8. Optimal Energy Management of Smart Grid considering
Electric Vehicle.
9. Comparative Power Quality Performance by PV-DSTATCOM,
Battery DSTATCOM and Capacitor DSTATCOM in Three Phase Distribution Grid.
10. ptimizing Energy Management in Hybrid PV-Wind-Battery Microgrids Using
Monte Carlo Techniques.
11. Effect of Distributed Generator in distribution
network and in microgrid.
12. Generation of Maximum Power from Solar Energy.
Anita Gehlot is currently associated with Lovely Professional University as Associate Professor with more than Fifteen years of experience in academics. Her area of expertise includes embedded systems, wireless sensor networks, and Internet of Things. She has two hundred and eighty patents filed including thirteen patents grant (8 Australian and 5 Indian patents) and 5 PCT. She has published more than ninety research papers in referred journals/conferences. She has been featured by Indian and International media for smart systems and devices designed by her including-OBDAS, E-Parirakshak, Kawach, 20Sec4Life, Ally, Alithis, CT scan Diagnosis, among which five are designed to prevent COVID-19 as per WHO guidelines. She has published twenty-four authored and six edited books in the area of Embedded Systems and Internet of Things with reputed publishers. Under his mentorship students have participated in national/international competitions and has been the winner of Smart India Hackathon-2019& 2020 hardware version conducted by MHRD, Government of India. She has been awarded with Gandhian Young Technological Innovation (GYTI) Award, as Mentor to On Board Diagnostic Data Analysis System-OBDAS, Appreciated under Cutting Edge Innovation during Festival of Innovation and Entrepreneurship at Rashtrapati Bahawan, India in 2018. She has been honored with Certificate of Excellence from 3rd faculty branding awards-15, Organized by EET CRS research wing for excellence in professional education and Industry, for the category Young Researcher, 2015.
Rajesh Singh is currently associated with Lovely Professional University as Professor with more than Seventeen years of experience in academics. He has been awarded as gold medallist in M.Tech from RGPV, Bhopal (M.P) India and honors in his B.E from Dr. B.R. Ambedkar University, Agra (U.P), India. His area of expertise includes embedded systems, robotics, wireless sensor networks, Internet of Things and Machine Learning. He has been honored as keynote speakers and session chair to international/national conferences, faculty development programs, workshops and webinars. He has Three hundred and fifty-eight patents filed including thirteen patents grant (8 Australian and 5 Indian patents) and 5 PCT. He has published more than hundred research papers in referred journals/conferences. He has published twenty-four authored and seven edited books in the area of Embedded Systems and Internet of Things with reputed publishers. He has been featured by Indian and International media for smart systems and devices designed by him including-OBDAS, E-Parirakshak, Kawach, 20Sec4Life, Ally, Alithis, CT scan Diagnosis, among which five are designed to prevent COVID-19 as per WHO guidelines. Under his mentorship students have participated in national/international competitions including Laureate award of excellence in robotics engineering, Madrid, Spain in 2014 & 2015. His team also participated in Innovative Design Challenge competition by Texas and DST in 2014, 2015, 2018, and 2019. His team has been the winner of Smart India Hackathon-2019& 2020 hardware version conducted by MHRD, Government of India. Under his mentorship students team got InSc award 2019 under students projects program. He has been awarded with Gandhian Young Technological Innovation (GYTI) Award, as Mentor to On Board Diagnostic Data Analysis System-OBDAS, Appreciated under Cutting Edge Innovation during Festival of Innovation and Entrepreneurship at Rashtrapati Bahawan, India in 2018. He has been honored with Certificate of Excellence from 3rd faculty branding awards-15, Organized by EET CRS research wing for excellence in professional education and Industry, for the category Award for Excellence in Research, 2015 and young investigator award at the International Conference on Science and Information in 2012.
Neeraj Priyadarshi. received M. Tech. degree in Power Electronics & Drives in 2010 from Vellore Institute of Technology (VIT), Vellore, India, and PhD from Government College of Technology and Engineering, Udaipur, Rajasthan, India. Dr Priyadarshi has Post Doc from Department of Energy Technology, Aalborg University, Esbjerg 6700, Denmark. In previous postings he was with BITT Ranchi, MIT Purnea, JK University, Geetanjali Institute, Global Institute and SS Group, Rajasthan, India. His current research interests include power electronics, Control system, power quality, and solar power generation. He has another Post doc from Bioenergy and Green Engineering, Department of Energy Technology, Aalborg University, Esbjerg 6700, Denmark. He has published over 60 papers in Journals and conferences of high repute. He successfully organised two international workshops and one National workshop in different organisations. He is also invited as a Guest speaker in many Internationals/National conferences. Dr Priyadarshi is a reviewer several international journals. Under his guidance 25 DST, Government of Rajasthan projects have been sanctioned for financial support. Dr Priyadarshi is working as a chief editor of two edited books of renowned publisher (Intelligent Renewable Energy Systems: Integrating Artificial Intelligence Techniques and Optimisation Algorithms and Advances in Power Systems and Energy Management).
Shaik Vaseem Akram is currently associated with the Division of Research and Innovation at Uttaranchal University as an Assistant professor with five years of experience in research. He has a Ph.D. in the field of blockchain and IoT for waste management systems. He has over 30 SCI research articles in the field of Industry 4.0 and sustainability. He has published more than 160 patents, including 3 granted Indian patents patent, 1 PCT patent, and 5 technology transfers. His research areas are IoT, blockchain, and wireless sensor networks.
Farooque Azam received the bachelors degree in computer science and engineering from Visvesvaraya Technological University, India, in 2011, and the masters degree in computer science and engineering from Jawaharlal Nehru Technological University, India, in 2013. He has received his PhD. in Computer Science and Engineering from Sangam University, India in 2021. He is working as an Associate Professor in the School of Computer Science and, Engineering, REVA University, Bengaluru India. He has authored scientific papers in reputed international journals and Conferences. His research interest includes renewable energy, Vehicular Communication, AI and ML.
