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28,65 Euro


Autorentext

Oscar Yucra Lino (1972) received his Dipl.-Ing. (FH) degree in Telecommunication engineering in 1997, and Dipl.-Ing. (Uni) degree in automation engineering (Robotics) in 2000 from the Wuppertal University in Germany. He worked as research assistant in software development for imaging processing, electronic, control and power systems at the Universities from Wuppertal, Duisburg, Paderborn in Germany, in the Department of Electrical Power System at the CINVESTAV in Mexico (Center of research and advanced studies) and in various engineering/training positions in Bosch Co.. His special research fields of interest include power system analysis, control systems, electronic, intelligent system applications and software development.

Inhalt

The stability analysis of interconnected power systems is a difficult key task on one hand because of the large number of network components that need to be considered such as machines, governors, exciters, loads, and converters, among others forming a complex dynamic system and on the other hand due to limited data exchange between energy utilities preserving economic interests in the increasingly liberalized power markets. This work presents innovative non-linear models of complex dynamic systems and their methods in form of simplified power supply models which can be utilized in the fields of network reliability, management and planning, especially to manage blackouts situations and to affront new technical circumstances of the deregulated electricity market. The novel methods are developed involving intelligent systems, such pattern recognition algorithms, Fuzzy concepts, non-linear modelling and identification of dynamic systems using robust dynamic recurrent artificial neural networks (DANN) with locally distributed dynamics. These robust methods are suitable alternatives to the classical dynamic equivalencing with high accuracy and applicability. In order to verify their effectiveness and to compare their properties, case studies, such as the interconnected European power system UCTE/CENTRAL, among others are tested.



Kerndaten

KennNummer 5003820
ISBN-13 978-3-86553-167-4
ISBN-10 3-86553-167-9
EAN-Code 9783865531674
Titel Development of intelligent, robust and nonlinear models in dynamic equivalencing for interconnected power systems
Verfügbarkeit Titel ist erschienen
Titel erscheint 10.11.2006
AuflagenNr. 1
Auflagentext Aufl.
Auflagenart(*) Erstauflage
Hauptsprache Englisch



Urheber

1 . Autor Yucra-Lino, Oscar



Ausstattung - Umfang

Anzahl arabische Seiten 220



Ausstattung - Abbildungen

Sonstige Angaben zahlr. Tab., Graf. u. Abb.



Ausstattung - Format, Produktform, Einband, Gewicht

Format (Höhe x Breite) 21,0 cm x 14,8 cm
Produktform Einband - flex.(Paperback)
Einbandart Paperback
Gewicht 298 Gramm



Preise

Gebundener Ladenpreis 28,65 EUR[D] (MwSt: Ermässigter)



Warengruppen-Systematik für den Buchhandel (alt: bis 31.12.2006)

Index 1 Hardcover, Softcover, Karte
Warengruppe 685 Technik / Elektronik, Elektrotechnik, Nachrichtentechnik



Warengruppen-Systematik für den Buchhandel (neu: ab 01.01.2007)

Index 1 Hardcover, Softcover
Warengruppe 689 Technik/Sonstiges



Schlagwortempfehlungen

Power System
Energy
Strommarkt
Non-lineares Modell
Dynamik Systems
Blackout situation
Fuzzy concept



Publikationshinweise - Hochschulschrift

Art(*) Dissertation
Hochschule(*) Paderborn
aus dem Jahr(*) 2006