Electricity Distribution

Intelligent Solutions for Electricity Transmission and Distribution Networks
1. Auflage 2016
ISBN: 978-3-662-49432-5
Verlag: Springer

Buch, Englisch, 318 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 6151 g

Reihe: Energy Systems

This book introduces readers to novel, efficient and user-friendly software tools for power systems studies, to issues related to distributed and dispersed power generation, and to the correlation between renewable power generation and electricity demand. Discussing new methodologies for addressing grid stability and control problems, it also examines issues concerning the safety and protection of transmission and distribution networks, energy storage and power quality, and the application of embedded systems to these networks. Lastly, the book sheds light on the implications of these new methodologies and developments for the economics of the power industry. As such, it offers readers a comprehensive overview of state-of-the-art research on modern electricity transmission and distribution networks.

Zielgruppe

Research

Autoren/Hrsg.

Ekonomou, Lambros

Karampelas, Panagiotis

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Energieverteilung, Stromnetze

Inhaltsverzeichnis

A methodology for
web-based power systems simulation and analysis using PHP programming,- Integration of
dispersed power generation.- Islanding detection
methods for distributed PV systems; Overview and experimental study.- The use of PLC
technology for smart grid applications over the MV grid: the DG paradigm.- The correlation
between renewable generation and electricity demand - A case study of Portugal.- A robust iterative
learning control algorithm for uncertain power systems.- Damping of power
system oscillations with optimal regulator.- Design of three-phase
LCL-filter for grid-connected PWM voltage source inverter using bacteria
foraging optimization.- Real time monitoring
of incipient faults in power transformer.- Advanced
short-circuit analysis for the assessment of voltage sag characteristics.- A genetic
proportional integral derivative controlled hydrothermal automatic generation
control with superconducting magnetic energy storage.- Linguistic
representation of power system signals.- Levenberg-Marquardt
algorithm based ANN for nodal price prediction in restructured power system.

Über Autor(innen)

Panagiotis Karampelas holds a Ph.D. in Electronic Engineering from University of Kent at Canterbury, UK and an MSc in “High Performance Algorithms” from the Department of Informatics, University of Athens, Greece. He has worked a lot of years as a researcher and as a faculty member in various research and educational institutions. His areas of interest include Information Visualization, Data Mining, Social Network Analysis, Artificial Neural Networks, Power Transmission and Distribution Systems. He has published a number of articles in his major areas of interests in international journals, conferences and books. Currently, he is a Lecturer at the Hellenic Air Force Academy, Greece.

Lambros Ekonomou received a Bachelor of Engineering (Hons) in Electrical Engineering and Electronics in 1997 and a Master of Science in Advanced Control in 1998 from University of Manchester Institute of Science and Technology (U.M.I.S.T.) in United Kingdom. In 2006 he graduated with a Ph.D. in High Voltage Engineering from the National Technical University of Athens (N.T.U.A.) in Greece and with a BA in Economics from University of Piraeus in Greece. His research interests include power systems, transmission and distribution lines, distributed generation, lightning and artificial neural networks. He has worked as a faculty member in various institutions such as City University London, ASPETE - School of Pedagogical and Technological Education, Hellenic Military Academy, Hellenic American University and Hellenic Naval Academy. He has also worked as senior electrical engineer in various companies including Hellenic Public Power Corporation S.A., Athens-Piraeus Electric Railways S.A. and Hellenic Aerospace Industry S.A.