Artificial Intelligence-Based Energy Management Systems for Smart Microgrids (eBook, ePUB)

Redaktion: Khan, Baseem; Rajkumar, S.; Mahela, Om Prakash; Alhelou, Hassan Haes; Padmanaban, Sanjeevikumar

• Format: ePub

Produktbeschreibung

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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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 386
• Erscheinungstermin: 7. Juni 2022
• Englisch
• ISBN-13: 9781000589252
• Artikelnr.: 63918404

Autorenporträt

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.

Inhaltsangabe

Chapter 1 Flexibility of Microgrids with Energy Management Systems Hooman Firoozi, Hosna Khajeh, and Hannu Laaksonen Chapter 2 Hybrid Particle Swarm Optimization - Artificial Neural Network Algorithm for Energy Management Kranthi Kumar, Altaf Q. H. Badar, and Sanjeevikumar Padmanabhan Chapter 3 Community Microgrid Energy Scheduling Based on the Grey Wolf Optimization Algorithm Md Shafiullah, Md Ershadul Haque, Shorab Hossain, Md. Sanower Hossain, and Md Juel Rana Chapter 4 Different Optimization Algorithms for Optimal Coordination of Directional Overcurrent Relays Ahmed Korashy, Salah Kamel, Abdel
Raheem Youssef, and Francisco Jurado Chapter 5 Microgrids-A Future Perspective Akhil Gupta, Kamal Kant Sharma, and Gagandeep Kaur Chapter 6 Control Techniques for the Operation and Power Management of Smart DC Microgrids Mahesh Kumar Chapter 7 Analysis and Optimization of a PV-Integrated Rural Distribution Network P. K. Bhatt, Om Prakash Mahela, and Baseem Khan Chapter 8 Fuzzy C
Means Clustering and K
NN Regression-Based Protection Scheme for Transmission Lines Amit Kumar Gangwar and Abdul Gafoor Shaik Chapter 9 Estimation of Solar Insolation Along with Worldwide Airports Situated on Different Latitude Locations: A Case Study of Rajasthan State, India Gori Shanakr Sharma, Om Prakash Mahela, Baseem Khan, and Akhil Ranjan Garg Chapter 10 An Algorithm For Identification of Multiple Power Quality Disturbances Om Prakash Mahela, Shruti Rathore, Shoyab Ali, and Baseem Khan Chapter 11 Recognition of Simple Power Quality Disturbances Using Wavelet Packet-Based Fast Kurtogram and Ruled Decision Tree Algorithm Om Prakash Mahela, Anup Singh, Sunil Agarwal, and Baseem Khan Chapter 12 Identification of Transmission Line Faults Using Voltage-Based Stockwell Transform Features and Decision Rules Supported Fault Classification Om Prakash Mahela, Vishnu Dutt Sharma, Sunil Agarwal, and Baseem Khan Chapter 13 Algorithm Based on Harmonic Wavelet Transform and Rule-Based Decision Tree for Detection and Classification of Transmission Line Faults Rajendra Mahla, Neeraj Gupta, and Akhil Ranjan Garg Chapter 14 A Voltage-Based Algorithm Using the Gabor Wigner Distribution and Rule-Based Decision Tree for the Detection of Transmission Line Faults Rajendra Mahla, Ravi Kishor Ranjan, Baseem Khan, and Om Prakash Mahela Chapter 15 Power Quality Estimation and Event Detection in a Distribution System in the Presence of Renewable Energy Rajkumar Kaushik, Pramod Kumar Bhatt, and Om Prakash Mahela Chapter 16 Recognition and Categorization of PQ Disturbances Using a Power Quality Index and Mesh Plots Om Prakash Mahela, Shoyab Ali, Shruti Rathore, Baseem Khan, Krishan Gopal Sharma, and Akhil Ranjan Garg