Gharehpetian / Baghaee / Shabestary | Microgrids and Methods of Analysis | Buch | 978-0-12-816172-2 | www.sack.de

Buch, Englisch, 350 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 450 g

Gharehpetian / Baghaee / Shabestary

Microgrids and Methods of Analysis


Erscheinungsjahr 2021
ISBN: 978-0-12-816172-2
Verlag: William Andrew Publishing

Buch, Englisch, 350 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 450 g

ISBN: 978-0-12-816172-2
Verlag: William Andrew Publishing


The increasing penetration of distributed energy resource (DER), distributed generation (DG) and energy storage system (ESS) units in distribution grids leads to the emergence of the concepts of active distribution networks (ADNs), microgrids, and virtual power plants. Nowadays, the use of electronically-coupled distributed energy resources is of great interest that can provide the power of demand side alone or in a small electricity grid. A microgrid is a small-scale power grid in low voltage network that must be able to locally solve energy issues and enhance the flexibility and can operate either in grid-connected or islanded/autonomous mode of operation. To study them, researchers need an appropriate set of methods, software tools, analogous to those exist for large interconnected power systems.

The book Microgrids and Methods of Analysis addresses systematic analysis, control/protection systems design, and optimal operation of a distribution system under high penetration of DERs analogous to those that exist for large interconnected power systems.

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Zielgruppe


Students, Engineers, researchers, electrical (power) engineering students, postgraduate students

Weitere Infos & Material


1. Introduction2. Microgrid Control Strategies3. Power Flow of Microgrids4. Fault Analysis5. Operation under Unbalanced Conditions6. Microgrid Protection7. Optimal Sizing and Siting of Microgrids8. Optimal Power Management


Gharehpetian, Gevork B.
Gevork B. Gharehpetian received his Ph.D. degree in electrical engineering in 1996 Tehran University, Tehran, Iran, graduating with First Class Honors. As a Ph.D. student, he has received scholarship from DAAD (German Academic Exchange Service) from 1993 to 1996 and he was with High Voltage Institute of RWTH Aachen, Aachen, Germany. He has been holding the Assistant Professor position at Amirkabir University of Technology (AUT) from 1997 to 2003, the position of Associate Professor from 2004 to 2007 and has been Professor since 2007.
He was selected by the Ministry of Science Research and Technology (SMRT) as the distinguished professor of Iran, by IAEEE (Iranian Association of Electrical and Electronics Engineers) as the distinguished researcher of Iran, by Iran Energy Association (IEA) as the best researcher of Iran in the field of energy, by the SMRT as the distinguished researcher of Iran, and by The Academy of Science of the Islamic Republic of Iran as the distinguished professor of electrical engineering and was awarded the National Prize in 2008, 2010, 2018, 2018 and 2019, respectively. Based on the Web of Science database (2005-2015), he is among world's top 1% elite scientists according to ESI (Essential Science Indicators) ranking system.
He is the author of more than 1100 journal and conference papers. His teaching and research interest include Smart Grid, Microgrids, FACTS and HVDC Systems, Monitoring of Power Transformers and its Transients.

Baghaee, Hamid Reza
Dr. Hamid Reza Baghaee received his Ph.D. in Electrical Engineering from Amirkabir University of Technology (AUT) in 2017. He was a short-term scientist with CERN and ABB Switzerland in 2014. In 2022, he joined the Faculty of Electrical and Computer Engineering (ECE) at Tarbiat Moadares University (TMU), Tehran, Iran, where he is now an Assistant Professor. He has authored and contributed to numerous books and journals from publishers and groups such as Elsevier, IEEE, and IET, and has presented at numerous international conferences. His book, Microgrids and Methods of Analysis was selected as best book of the year in the power and energy industry of Iran by the technical committee of the Iran Ministry of Energy (MOE). He has received several other awards for his research and work. His special fields of interest are micro- and smart grids, cyber-physical power systems, power system cyber security and cyber-resiliency, application of artificial intelligence (AI) and machine learning (ML) and big data analytics in power systems, real-time simulation of power systems, distributed generation, and renewable energy resources, FACTS, HVDC and custom power devices, power electronics applications in power systems, Power Electronics-Dominated Grids (PEDGs), power quality, real-time simulation of power systems, and power system operation, control, monitoring, and protection.

Shabestary, Masoud M.
Masoud M. Shabestary received his Ph.D. degree in Energy Systems at the Electrical and Computer Engineering Department of the University of Alberta, Edmonton, AB, Canada, in 2019. During his Ph.D., he received outstanding awards and scholarships including Vanier scholarship from the government of Canada, Alberta Innovates Scholarship, Killam Memorial Scholarship, and President's Prize of Distinction. From 2011 to 2013, he served as a Researcher at the FACTS laboratory of Amirkabir University of Technology, Tehran, Iran, where he also received his B.Sc. degree in Power Systems in 2011. His research interests include Smart Grids, Intelligent Energy Systems, Microgrids, Renewable Energies, and Distributed Generations.



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