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.
Tabella dei contenuti
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.
Circa l’autore
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.
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