Electricity Distribution

Intelligent Solutions for Electricity Transmission and Distribution Networks

Inbunden, Engelska, 2016

Av Panagiotis Karampelas, Lambros Ekonomou

1 409 kr

Beställningsvara. Skickas inom 10-15 vardagar

Fri frakt för medlemmar vid köp för minst 249 kr.

Thisbook introduces readers to novel, efficient and user-friendly software toolsfor power systems studies, to issues related to distributed and dispersed powergeneration, and to the correlation between renewable power generation andelectricity demand. Discussing new methodologies for addressing grid stabilityand control problems, it also examines issues concerning the safety andprotection of transmission and distribution networks, energy storage and powerquality, and the application of embedded systems to these networks. Lastly, thebook sheds light on the implications of these new methodologies anddevelopments for the economics of the power industry. As such, it offersreaders a comprehensive overview of state-of-the-art research on modernelectricity transmission and distribution networks.

Produktinformation

Utgivningsdatum2016-03-10
Mått155 x 235 x 24 mm
Vikt658 g
FormatInbunden
SpråkEngelska
SerieEnergy Systems
Antal sidor318
Upplaga16001
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783662494325

Tillhör följande kategorier

Tillämpad datateknik inom Data och it
Energiteknik inom Naturvetenskap och teknik
Affärsutveckling inom Ekonomi och ledarskap

Panagiotis Karampelasholds a Ph.D. in Electronic Engineering from University of Kent at Canterbury,UK and an MSc in “High Performance Algorithms” from the Department ofInformatics, University of Athens, Greece. He has worked a lot of years as aresearcher and as a faculty member in various research and educationalinstitutions. His areas of interest include Information Visualization, DataMining, Social Network Analysis, Artificial Neural Networks, Power Transmissionand Distribution Systems. He has published a number of articles in his majorareas 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 ElectricalEngineering and Electronics in 1997 and a Master of Science in Advanced Controlin 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 HighVoltage 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. Hisresearch interests include power systems, transmission and distribution lines,distributed generation, lightning and artificial neural networks. He has workedas a faculty member in various institutions such as City University London,ASPETE - School of Pedagogical and Technological Education, Hellenic MilitaryAcademy, Hellenic American University and Hellenic Naval Academy. He has alsoworked as senior electrical engineer in various companies including HellenicPublic Power Corporation S.A., Athens-Piraeus Electric Railways S.A. andHellenic Aerospace Industry S.A.

A methodology forweb-based power systems simulation and analysis using PHP programming,- Integration ofdispersed power generation.- Islanding detectionmethods for distributed PV systems; Overview and experimental study.- The use of PLCtechnology for smart grid applications over the MV grid: the DG paradigm.- The correlationbetween renewable generation and electricity demand - A case study of Portugal.- A robust iterativelearning control algorithm for uncertain power systems.- Damping of powersystem oscillations with optimal regulator.- Design of three-phaseLCL-filter for grid-connected PWM voltage source inverter using bacteriaforaging optimization.- Real time monitoringof incipient faults in power transformer.- Advancedshort-circuit analysis for the assessment of voltage sag characteristics.- A geneticproportional integral derivative controlled hydrothermal automatic generationcontrol with superconducting magnetic energy storage.- Linguisticrepresentation of power system signals.- Levenberg-Marquardtalgorithm based ANN for nodal price prediction in restructured power system.