"Modeling and optimization of energy management systems for micro and mini-grids play an important role in the fields of energy generation dispatch, and peak demand confliction with grid security. This comprehensive reference text provides an in-depth insight into these topics. The text discusses the use of metaheuristic and artificial intelligent (AI) algorithms for developing energy management systems with energy usage prediction for mini and microgrid systems. It covers important concepts including modeling of microgrid and energy management systems, blockchain-based microgrid energy management, optimal energy dispatch with energy management systems, and peak demand management with energy management systems. The text will be useful for graduate students and professionals in the fields of electrical engineering, electronics and communication engineering, renewable energy, and clean technologies"--
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.
Modeling and optimization of energy management systems for micro and mini-grids play an important role in the fields of energy generation dispatch, and peak demand confliction with grid security. This comprehensive reference text provides an in-depth insight into these topics. The text discusses the use of metaheuristic and artificial intelligent (AI) algorithms for developing energy management systems with energy usage prediction for mini and microgrid systems. It covers important concepts including modeling of microgrid and energy management systems, blockchain-based microgrid energy management, optimal energy dispatch with energy management systems, and peak demand management with energy management systems. The text will be useful for graduate students and professionals in the fields of electrical engineering, electronics and communication engineering, renewable energy, and clean technologies.
| Acknowledgments |
|
ix | |
| Editors |
|
xi | |
|
Chapter 1 Flexibility of Microgrids with Energy Management Systems |
|
|
1 | (30) |
|
|
|
|
|
|
|
Chapter 2 Hybrid Particle Swarm Optimization - Artificial Neural Network Algorithm for Energy Management |
|
|
31 | (16) |
|
|
|
|
|
Sanjeevikumar Padmanabhan |
|
|
Chapter 3 Community Microgrid Energy Scheduling Based on the Grey Wolf Optimization Algorithm |
|
|
47 | (28) |
|
|
|
|
|
|
|
|
|
|
|
Chapter 4 Different Optimization Algorithms for Optimal Coordination of Directional Overcurrent Relays |
|
|
75 | (28) |
|
|
|
|
|
|
|
|
|
Chapter 5 Microgrids---A Future Perspective |
|
|
103 | (24) |
|
|
|
|
|
|
|
Chapter 6 Control Techniques for the Operation and Power Management of Smart DC Microgrids |
|
|
127 | (24) |
|
|
|
Chapter 7 Analysis and Optimization of a PV-Integrated Rural Distribution Network |
|
|
151 | (14) |
|
|
|
|
|
|
|
Chapter 8 Fuzzy C-Means Clustering and K-NN Regression-Based Protection Scheme for Transmission Lines |
|
|
165 | (16) |
|
|
|
|
|
Chapter 9 Estimation of Solar Insolation Along with Worldwide Airports Situated on Different Latitude Locations: A Case Study of Rajasthan State, India |
|
|
181 | (20) |
|
|
|
|
|
|
|
|
|
Chapter 10 An Algorithm For Identification of Multiple Power Quality Disturbances |
|
|
201 | (30) |
|
|
|
|
|
|
|
|
|
Chapter 11 Recognition of Simple Power Quality Disturbances Using Wavelet Packet-Based Fast Kurtogram and Ruled Decision Tree Algorithm |
|
|
231 | (32) |
|
|
|
|
|
|
|
|
|
Chapter 12 Identification of Transmission Line Faults Using Voltage-Based Stockwell Transform Features and Decision Rules Supported Fault Classification |
|
|
263 | (28) |
|
|
|
|
|
|
|
|
|
Chapter 13 Algorithm Based on Harmonic Wavelet Transform and Rule-Based Decision Tree for Detection and Classification of Transmission Line Faults |
|
|
291 | (16) |
|
|
|
|
|
|
|
Chapter 14 A Voltage-Based Algorithm Using the Gabor Wigner Distribution and Rule-Based Decision Tree for the Detection of Transmission Line Faults |
|
|
307 | (16) |
|
|
|
|
|
|
|
|
|
Chapter 15 Power Quality Estimation and Event Detection in a Distribution System in the Presence of Renewable Energy |
|
|
323 | (20) |
|
|
|
|
|
|
|
Chapter 16 Recognition and Categorization of PQ Disturbances Using a Power Quality Index and Mesh Plots |
|
|
343 | (22) |
|
|
|
|
|
|
|
|
|
|
|
|
| Index |
|
365 | |
Baseem Khan (M16) 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 (S15) 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 (M13) 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.
