Power System By Jb Gupta Pdf Free Download
Rosham Rosebure
Power converters are an essential component of many electrical systems, from a smartphone or electric car to the electric grid. These devices flip current from AC to DC or DC to AC, modulate electric frequency, stabilize voltages, and generally make sure electricity is in a form usable by our electronics.
She dedicated the rest of her undergraduate career to power systems, electrical machines and power electronics. That interest led her to UW-Madison and the Wisconsin Electric Machines and Power Electronics Consortium (WEMPEC) research group for her graduate work. At UW-Madison, advised by ECE Professor and WEMPEC Director Giri Venkataramanan, Gupta began her research into power converters.
After earning her PhD, she spent a year at Ford Motor Company, working on electric vehicles as part of the research and advanced engineering group, designing electrified powertrain systems. In 2020, Gupta joined Portland State University in Oregon as an assistant professor.
PhD student Araz Saleki also will be joining Gupta at UW-Madison. Saleki is working on a National Science Foundation-funded project to design very-high-density and efficient power converters for integration of battery energy storage systems into the electric grid.
Professor Gupta is a pioneer in "codesign" of hardware and software for embedded microsystems. He works on new architectures for mobile devices that take into account their constraints: battery life, a small footprint, less memory, and so on. The research goal is to create system architectures that allow mobile computers to manage power more efficiently. Gupta is also an expert on system modeling and design tools. He teaches courses in computer-aided design (CAD) for digital circuits and systems, and his research extends to algorithms for automated design of very large-scale integrated (VLSI) circuits. Gupta is also an expert on adaptive computing architectures that permit, to a greater degree, built-in flexibility for better performance, fault tolerance etc. One current project focuses on how to design systems that can "learn" from the way they are being used, to allow the system to make the most efficient use (of power, for instance).
Specifically, the researchers are working to anticipate and solve optimization problems critical to various parties, such as PEV owners, commercial charging station owners, aggregators and distribution companies, at the distribution and retail level of the emerging PEV system.
For example, the team will be examining issues related to charging at both commercial charging stations and at residences, and scenarios when PEVs function only as consumers of power as well as those in which PEVs could conceivably serve as a sort of battery, reinjecting energy from the vehicle to the home (V2H) or from the vehicle to the grid (V2G).
The Notre Dame team will work in close collaboration with industrial partners to help ground the research in real problems and to facilitate quick dissemination of results to the marketplace. Members also will be working with academic partners from the University of Washington and the University of Pennsylvania.
The project also will have a strong educational component that will integrate the research into the classroom to allow better training of both undergraduates and graduate students for participation in an electrified transportation market.
This book provides a comprehensive understanding of how intelligent data-driven techniques can be used for modelling, controlling, and optimizing various power and energy applications. It aims to develop multiple data-driven models for forecasting renewable energy sources and to interpret the benefits of these techniques in line with first-principles modelling approaches. By doing so, the book aims to stimulate deep insights into computational intelligence approaches in data-driven models and to promote their potential applications in the power and energy sectors. Its key features include:
This book presents novel concepts for applying data-driven models, mainly in the power and energy sectors, and is intended for graduate students, industry professionals, research, and academic personnel.
B Rajanarayan Prusty (Senior Member, IEEE) is a Professor and Associate Dean Research in the School of Engineering, Galgotias University, Greater Noida, India. He obtained his Ph.D. from the National Institute of Technology Karnataka, Surathkal. His exceptional research work during his Ph.D. has led him to win the prestigious POSOCO Power System Awards for 2019 by Power System Operation Corporation Limited in partnership with IIT Delhi. In recognition of his publications from 2017 to 2019, he was awarded the University Foundation Day Research Award 2019 from BPUT, Rourkela, Odisha. He has 30 SCI journal publications and 50 international conference publications. He has authored 10 book chapters. He has co-authored a textbook entitled Power System Analysis: Operation and Control in I. K. International Publishing House Pvt. Ltd. He has also edited two books for CRC Press. He has been an active reviewer and has reviewed more than 500 manuscripts. He is the Associate Editor of the Journal of Electrical Engineering & Technology and the International Journal of Power and Energy Systems. He is also the Academic Editor for the journals (i) Mathematical Problems in Engineering, (ii) International Transactions on Electrical Energy Systems, and (iii) Journal of Electrical and Computer Engineering. He has handled more than 200 manuscripts in the capacity of Journal Editor. His research interests include data preprocessing, time series forecasting, high-dimensional dependence modelling, and applying machine learning and probabilistic methods to power system problems.
Neeraj Gupta obtained his Ph.D. in power systems from the Indian Institute of Technology Roorkee, Roorkee, India. He is a senior member of IEEE. He was a faculty with Thapar University, from 2008 to 2009, Adani Institute of Infrastructure Engineering, Ahmedabad, India, in 2015 and NIT Hamirpur from 2015 to 2018, and presently, he has been working as Assistant Professor with the Electrical Engineering Department, National Institute of Technology, Srinagar, J&K, India. His work has been published in Q-1 international journals of repute like IEEE, Elsevier, etc. He is presently guiding four Ph.D. scholars in the area of power systems. He has also supervised eight M.Tech. and four B.Tech. dissertations. He has more than 40 SCI journal publications/conference publications/book chapters to his credit. He has edited three books titled Control of Standalone Microgrid (Elsevier 2021), Renewable Energy Integration to the Grid: A Probabilistic Perspective (CRC Press 2022), and Smart Electrical and Mechanical Systems: An Application Publisher (Elsevier 2022). He has been an active reviewer since 2015 and has reviewed 200 manuscripts submitted to repute SCI-indexed journals/conferences. He has delivered 15 invited expert talks in various organizations in India. He is also the scientific advisory/organizing secretary of many reputed conferences in the country. He is a referee of reputed journals of IEEE, Elsevier, Taylor and Francis, IET, and so on. He has been included in the list of top 2% highly cited scientists by Stanford University working in power in 2021. His research interests include the uncertainty quantification of power system; probabilistic power system; solar, wind, and electric vehicle technologies; artificial intelligence; machine learning; prediction; and so on.
Kishore Bingi received his B.Tech. degree in Electrical and Electronics Engineering from Acharya Nagarjuna University, Guntur, Andhra Pradesh, India, in 2012. He received his M.Tech. degree in Instrumentation and Control Systems from the National Institute of Technology Calicut, India, in 2014, and a Ph.D. in Electrical and Electronic Engineering from Universiti Teknologi PETRONAS, Malaysia, in 2019. From 2014 to 2015, he worked as Assistant Systems Engineer at TATA Consultancy Services Limited, India. From 2019 to 2020, he worked as Research Scientist and Post-Doctoral Researcher at the Universiti Teknologi PETRONAS, Malaysia. From 2020 to 2022, he served as Assistant Professor at the Process Control Laboratory, School of Electrical Engineering, Vellore Institute of Technology, Vellore, India. Since 2022, he has been working as a faculty member at the Department of Electrical and Electronic Engineering at Universiti Teknologi PETRONAS, Seri Iskandar, Perak, Malaysia. His research area is developing fractional-order neural networks, including fractional-order systems and controllers, chaos prediction and forecasting, and advanced hybrid optimization techniques. He is an IEEE and IET Member and a registered Chartered Engineer (CEng) from the Engineering Council, UK.
N2 - Modern power electronics based power systems with inclusion of information and communication technologies (ICT) have emerged to be cyber-physical systems, making it vulnerable to both cyber and physical anomalies. These systems on one hand are susceptible to grid/system faults, whereas on the other hand, ICT can easily be the potential target of the third-party adversaries. On top, the transient response of cyber-physical power electronics based power systems (PEPS) to the said critical disturbances is very fast, which becomes another challenge to distinguish them accurately within a short time frame. To address this challenge, this paper certifies cyber-physical anomalies using physics-informed empirical laws governed by mapping X-Y plane between locally measured frequency (f) and d-axis voltage (V d ) only, forming a decentralized approach. The anomaly characterization between physical and cyber faults is carried out by tracing the trajectory movement online in the aforementioned X-Y plane. Basically, the physics-informed laws determine the boundaries in this plane to segregate between grid faults and cyber attacks. This decentralized method is effective in classifying the anomalies only within 5 ms (with 20 samples/cycle in a 50 Hz system), which has been validated on modified CIGRE LV benchmark distribution network with real-time (RT) simulations in OPAL-RT environment with HYPERSIM software.
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