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© 2007

Adaptive Voltage Control in Power Systems

Modeling, Design and Applications

Benefits

  • Shows the reader how to use the latest control techniques in order to maintain power quality in an increasingly competitive market place

  • Use of self-regulating control reduces the time effort and money invested in intervention in power supply systems

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  • 7k Downloads

Part of the Advances in Industrial Control book series (AIC)

About this book

Introduction

Power quality is a pressing concern in electric power systems. One of the main requirements of power quality management is the guarantee of a sinusoidal voltage waveform with adequate amplitude at each node of the network. The fulfilment of such a control objective is facilitated by adaptive systems which can account for unpredictable fluctuations in operating conditions.

Adaptive Voltage Control in Power Systems, a self-contained blend of theory and novel application, is an in-depth treatment of such adaptive control schemes. The reader moves from power-system-modelling problems through illustrations of the main adaptive control systems (self-tuning, model-reference and nonlinearities compensation) to a detailed description of design methods: Kalman filtering, parameter-identification algorithms and discrete-time controller design are all represented. Case studies address applications issues in the implementation of adaptive voltage control.

Practicing engineers and researchers in power systems and control engineering will find this monograph, written by representatives of each field, to be a valuable synthesis of both while its accessible style will also appeal to graduate students.

 

Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Keywords

Adaptive Control Computer Control Control Applications Kalman Filtering Modelling Parameter Identification Power Engineering Power Systems Self-tuning Systems Simulation Voltage Regulation Waveform control engineering modeling

Authors and affiliations

  1. 1.Facoltà di IngegneriaUniversità degli Studi di CassinoCassino (FR)Italy

About the authors

Giuseppe Fusco received the Laurea degree in Electrical Engineering from the University of Napoli. Currently he is Associate Professor of Automatic Control at the Faculty of Engineering of the University of Cassino, where from 1995 he was Assistant Professor. His research interests mainly deal with adaptive power systems control and mobile vehicles control. He has published more than 40 papers in international journals and conference proceedings. Prof. Fusco is a member of IEEE-CSS and of IFAC.

Mario Russo gained the Laurea degree (MSc) in Electrical Engineering at the University di Napoli, in 1988 he joined the R&D of the Robotics Division in COMAU. Since 1992 he has been Professor of Power Systems at the Faculty of Engineering of the University of Cassino, formerly as Assistant and then, from 1998, as Associate Professor. His research activity deals with analysis and control of power plants and power systems. He is co-author of more than 40 papers on international journals and conference proceedings and of a book on power plants (in press). Prof. Russo is a member of AEI (the Italian Institute of Electric and Electronic Engineers), of IEEE-PES and of IFAC (PP&PS Technical Committee).

Bibliographic information

  • Book Title Adaptive Voltage Control in Power Systems
  • Book Subtitle Modeling, Design and Applications
  • Authors Giuseppe Fusco
    Mario Russo
  • Series Title Advances in Industrial Control
  • Series Abbreviated Title Advances in Industrial Control
  • DOI https://doi.org/10.1007/978-1-84628-565-3
  • Copyright Information Springer-Verlag London Limited 2007
  • Publisher Name Springer, London
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-1-84628-564-6
  • Softcover ISBN 978-1-84996-620-7
  • eBook ISBN 978-1-84628-565-3
  • Series ISSN 1430-9491
  • Series E-ISSN 2193-1577
  • Edition Number 1
  • Number of Pages XIV, 163
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Electrical Engineering
    Control and Systems Theory
    Energy Systems
    Energy Systems
  • Buy this book on publisher's site
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