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Artificial Intelligence-Based Energy Management Systems for Smart Microgrids - Softcover

 
9781032268835: Artificial Intelligence-Based Energy Management Systems for Smart Microgrids

Synopsis

Modeling and optimization of energy management systems for micro- and mini-grids play an important role in the fields of energy generation dispatch, system operation, protection coordination, power quality issues, and peak demand conflict with grid security. This comprehensive reference text provides an in-depth insight into these topics. This text discusses the use of meta-heuristic and artificial intelligence algorithms for developing energy management systems with energy use prediction for mini- and microgrid systems. It covers important concepts including modeling of microgrid and energy management systems, optimal protection coordination-based microgrid energy management, optimal energy dispatch with energy management systems, and peak demand management with energy management systems.

Key Features:

  • Presents a comprehensive discussion of mini- and microgrid concepts
  • Discusses AC and DC microgrid modeling in detail
  • Covers optimization of mini- and microgrid systems using AI and meta-heuristic techniques
  • Provides MATLAB®-based simulations on a mini- and microgrid

Comprehensively discussing concepts of microgrids with the help of software-based simulations, this text will be useful as a reference text for graduate students and professionals in the fields of electrical engineering, electronics and communication engineering, renewable energy, and clean technology.

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About the Author

Baseem Khan (M’16) received his Bachelor of Engineering degree in Electrical Engineering from Rajiv Gandhi Technological University, Bhopal, India in 2008. He received his Master of Technology and Doctor of Philosophy degrees in Electrical Engineering from the Maulana Azad National Institute of Technology, Bhopal, India, in 2010 and 2014, respectively. Currently, he is working as a faculty member at Hawassa University, Ethiopia. His research interest includes power system restructuring, power system planning, smart grid technologies, meta-heuristic optimization techniques, reliability analysis of renewable energy systems, power quality analysis, and renewable energy integration.

P. Sanjeevikumar is SMIEEE'15, FIETE'18, FIE'18, FIET'19 and Charted Engineer (CEng., India) received his Bachelor (First Class), Master (Distinction), Ph. D Degree in Electrical Engineering from the University of Madras, Pondicherry University (India, 2002, 2006), University of Bologna (Italy, 2012). Research work focused in the field of Power Electronics (multi-phase/multilevel converters). Editorial Board / Associate Editor of IEEE Systems Journal, IET PEL, subject editor of IET RPG, subject editor of IET GTD, IEEE Access, Turkish Journal of Electrical Engineering & Computer Science, Journal of Power Electronics (JPE-Korea), FACETS (Canada).

Hassan Haes Alhelou (S’15) is a faculty member at Tisheen University, Lattakia, Syria. He is also a Ph.D. researcher at the Isfahan University of Technology (IUT), Isfahan, Iran. He is included in the 2018 Publons list of the top 1% best reviewer and researchers in the field of engineering. He was the recipient of the Outstanding Reviewer Award from Energy Conversion and Management Journal in 2016, ISA Transactions Journal in 2018, Applied Energy Journal in 2019, and many other awards. He was the recipient of the best young researcher in the Arab Student Forum Creative among 61 researchers from 16 countries at Alexandria University, Egypt, 2011. He has published more than 30 research papers in high-quality peer-reviewed journals and international conferences. He has also performed more than 160 reviews for high prestigious journals including IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Electronics, Energy Conversion, and Management, Applied Energy, International Journal of Electrical Power \& Energy Systems. He has participated in more than 15 industrial projects. His major research interests are Power systems, Power system dynamics, Power system operation, and control, Dynamic state estimation, Frequency control, Smart grids, Micro-grids, Demand response, Load shedding, and Power system protection.

Om Prakash Mahela (M’13) was born in Sabalpura, Kuchaman City, Rajasthan, India, in 1977. He received the B.E. degree from the College of Technology and Engineering, Udaipur, India, in 2002, and the MTech. degree from Jagannath University, Jaipur, India, in 2013, and the Ph.D. degree from Indian Institute of Technology Jodhpur, India, in 2018, all in electrical engineering. From 2002 to 2004, he was an Assistant Professor with the Rajasthan Institute of Engineering and Technology, Jaipur, India. From 2004 to 2014, he was a Junior Engineer with the Rajasthan Rajya Vidyut Prasaran Nigam Ltd., India, and Assistant Engineer since July 20014. He has authored more than 100 research articles and book chapters. His research interest includes power quality, power system planning, grid integration of renewable energy sources, FACTS devices, transmission line protection, and condition monitoring. He was a recipient of the University rank certificate in 2002, Gold Medal in 2013, best research paper award from IEEE ICSEDPS 2018, C.V. Raman Gold Medal in 2019, and outstanding Reviewer Awards from Elsevier Journals.

S. Rajkumar working as an assistant professor in the faculty of manufacturing, institute of technology, Hawassa University, Ethiopia. He has acquired Fourteen years of teaching experience in various reputed engineering colleges and universities. He did a Ph.D. from Anna University, Chennai in the year of 2014. He published more than forty Research papers in International Journal and International conference. He actively participates in more than ten professional societies. He was the reviewer and editorial board member in various reputed international journals.

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Paperback. Condition: new. Paperback. Modeling and optimization of energy management systems for micro- and mini-grids play an important role in the fields of energy generation dispatch, system operation, protection coordination, power quality issues, and peak demand conflict with grid security. This comprehensive reference text provides an in-depth insight into these topics. This text discusses the use of meta-heuristic and artificial intelligence algorithms for developing energy management systems with energy use prediction for mini- and microgrid systems. It covers important concepts including modeling of microgrid and energy management systems, optimal protection coordination-based microgrid energy management, optimal energy dispatch with energy management systems, and peak demand management with energy management systems. Key Features: Presents a comprehensive discussion of mini- and microgrid concepts Discusses AC and DC microgrid modeling in detail Covers optimization of mini- and microgrid systems using AI and meta-heuristic techniques Provides MATLAB-based simulations on a mini- and microgridComprehensively discussing concepts of microgrids with the help of software-based simulations, this text will be useful as a reference text for graduate students and professionals in the fields of electrical engineering, electronics and communication engineering, renewable energy, and clean technology. The text discusses the modeling and optimization of mini and micro grids systems with artificial intelligence and meta-heuristic techniques. It will be an ideal reference text for graduate students and professionals in the fields of electrical engineering, electronics and communication engineering, renewable energy, and clean technologies. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781032268835

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