Modern Optimization Techniques for Smart Grids

1. Auflage 2023
ISBN: 978-3-030-96024-7
Verlag: Springer International Publishing

Buch, Englisch, 226 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 580 g

Modern Optimization Techniques for Smart Grids presents current research and methods for monitoring transmission systems and enhancing distribution system performance using optimization techniques considering the role of different single and multi-objective functions. The authors present in-depth information on integrated systems for smart transmission and distribution, including using smart meters such as phasor measurement units (PMUs), enhancing distribution system performance using the optimal placement of distributed generations (DGs) and/or capacitor banks, and optimal capacitor placement for power loss reduction and voltage profile improvement. The book will be a valuable reference for researchers, students, and engineers working in electrical power engineering and renewable energy systems. - Predicts future development of hybrid power systems;
- Introduces enhanced optimization strategies;
- Includes MATLAB M-file codes.

Zielgruppe

Research

Autoren/Hrsg.

El-Ela, Adel Ali Abou

Elbaset, Adel A.

Mouwafi, Mohamed T.

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Technische Wissenschaften Energietechnik | Elektrotechnik Alternative und erneuerbare Energien
• Technische Wissenschaften Energietechnik | Elektrotechnik Energietechnik & Elektrotechnik
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Energie- & Versorgungswirtschaft Energiewirtschaft: Alternative & Erneuerbare Energien

Inhaltsverzeichnis

Introduction,- Optimization Techniques.- Smart Grid Technologies.- Optimal Placement of PMUs in Smart Power Systems.- Optimal Capacitor Placement for Power Loss Reduction and Voltage Profile Improvement.- Optimal Combination of DGs and Capacitor Banks for Performance Enhancement of Distribution Systems.- Conclusions.- Appendix A: Test Systems.- Appendix B: Backward/Forward Sweep Algorithm.

Über Autor(innen)

Adel Ali Mohamed Abou El-Ela, Ph.D., is a Professor with the Faculty of Engineering at Menoufia University, Egypt. He was previously the Dean of Alexandria Higher Institute of Engineering and Technology (AIET), and before that was the Dean of the Faculty of Engineering at Menoufia University, where he also previously lead the Electrical Engineering Department and was the general supervisor of Strategic Studies and the Leadership Development Center. Professor Abou El-Ela received his B.Sc., M.Sc., and Ph.D. degrees in Electrical Engineering from Menoufia University, in 1977, 1980, and 1983, respectively. He has published over 177 technical papers with international journals and conferences and has supervised and examined more than 120 M.Sc. and Ph.D. theses at Menoufia and other Egyptian universities. He is a Member of the Scientific Committee for Promoting University Staff Members (Assistant and Full Professors).

Mohamed T. Mouwafi, Ph.D., is a Lecturer in the Electrical Engineering Department, Faculty of Engineering, at Menoufia University. He received his B.Sc., M.Sc., and Ph.D. degrees in electrical engineering from Menoufia University, in 2006, 2010, and 2016, respectively. His research interests are in the areas of smart grid, power system operation and planning, optimization techniques, power system monitoring, smart meters, renewable energy sources, distributed generations, optimal power flow, and power quality.

Adel A Elbaset, Ph.D., is a Full Professor with the Faculty of Engineering at Minia University, Egypt. He received the B.S., M.Sc., and Ph.D. from Minia University in 1995, 2000, and 2006, respectively. Dr. Elbaset is also currently a Full Professor with the Faculty of Engineering at Heliopolis University where he also works as a Vice-Dean for Student Affairs and Head of the Department of Electromechanics. He has published over 120 technical papers in international journals and conferences proceedings and has supervised and examined more than 50 M.Sc. and Ph.D. theses at Minia and other Egyptian universities. His research interests are in the area of wind energy systems, photovoltaics, renewable energy systems, power electronics, power system protection and control, power quality and harmonics, and applications of neural networks and fuzzy systems. Dr. Elbaset has published 12 international books in the field of renewable energy.