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Power systems signal processing for smart grids / Paulo F. Ribeiro [and three others].

By: Material type: TextTextPublisher number: EB00229862 | Recorded BooksPublisher: Chichester, West Sussex : John Wiley & Sons, 2014Edition: First editionDescription: 1 online resource (443 pages) : illustrations (some color), portraitsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781118639269
  • 111863926X
  • 9781118639238
  • 1118639235
  • 9781118639283
  • 1299939597
  • 9781299939592
  • 1118639286
  • 1119991501
  • 9781119991502
Subject(s): Genre/Form: Additional physical formats: Print version:: Power systems signal processing for smart grids.DDC classification:
  • 621.31/7 23
LOC classification:
  • TK1005 .R43 2013eb
Online resources:
Contents:
Power Systems Signal Processing for Smart Grids; Contents; About the Authors; Preface; Accompanying Websites; Acknowledgments; 1 Introduction; 1.1 Introduction; 1.2 The Future Grid; 1.3 Motivation and Objectives; 1.4 Signal Processing Framework; 1.5 Conclusions; References; 2 Power Systems and Signal Processing; 2.1 Introduction; 2.2 Dynamic Overvoltage; 2.2.1 Sustained Overvoltage; 2.2.2 Lightning Surge; 2.2.3 Switching Surges; 2.2.4 Switching of Capacitor Banks; 2.3 Fault Current and DC Component; 2.4 Voltage Sags and Voltage Swells; 2.5 Voltage Fluctuations.
2.6 Voltage and Current Imbalance2.7 Harmonics and Interharmonics; 2.8 Inrush Current in Power Transformers; 2.9 Over-Excitation of Transformers; 2.10 Transients in Instrument Transformers; 2.10.1 Current Transformer (CT) Saturation (Protection Services); 2.10.2 Capacitive Voltage Transformer (CVT) Transients; 2.11 Ferroresonance; 2.12 Frequency Variation; 2.13 Other Kinds of Phenomena and their Signals; 2.14 Conclusions; References; 3 Transducers and Acquisition Systems; 3.1 Introduction; 3.2 Voltage Transformers (VTs); 3.3 Capacitor Voltage Transformers; 3.4 Current Transformers.
3.5 Non-Conventional Transducers3.5.1 Resistive Voltage Divider; 3.5.2 Optical Voltage Transducer; 3.5.3 Rogowski Coil; 3.5.4 Optical Current Transducer; 3.6 Analog-to-Digital Conversion Processing; 3.6.1 Supervision and Control; 3.6.2 Protection; 3.6.3 Power Quality; 3.7 Mathematical Model for Noise; 3.8 Sampling and the Anti-Aliasing Filtering; 3.9 Sampling Rate for Power System Application; 3.10 Smart-Grid Context and Conclusions; References; 4 Discrete Transforms; 4.1 Introduction; 4.2 Representation of Periodic Signals using Fourier Series; 4.2.1 Computation of Series Coefficients.
4.2.2 The Exponential Fourier Series4.2.3 Relationship between the Exponential and Trigonometric Coefficients; 4.2.4 Harmonics in Power Systems; 4.2.5 Proprieties of a Fourier Series; 4.3 A Fourier Transform; 4.3.1 Introduction and Examples; 4.3.2 Fourier Transform Properties; 4.4 The Sampling Theorem; 4.5 The Discrete-Time Fourier Transform; 4.5.1 DTFT Pairs; 4.5.2 Properties of DTFT; 4.6 The Discrete Fourier Transform (DFT); 4.6.1 Sampling the Fourier Transform; 4.6.2 Discrete Fourier Transform Theorems; 4.7 Recursive DFT; 4.8 Filtering Interpretation of DFT.
4.8.1 Frequency Response of DFT Filter4.8.2 Asynchronous Sampling; 4.9 The z-Transform; 4.9.1 Rational z-Transforms; 4.9.2 Stability of Rational Transfer Function; 4.9.3 Some Common z-Transform Pairs; 4.9.4 z-Transform Properties; 4.10 Conclusions; References; 5 Basic Power Systems Signal Processing; 5.1 Introduction; 5.2 Linear and Time-Invariant Systems; 5.2.1 Frequency Response of LTI System; 5.2.2 Linear Phase FIR Filter; 5.3 Basic Digital System and Power System Applications; 5.3.1 Moving Average Systems: Application; 5.3.2 RMS Estimation.
Summary: "With special relation to smart grids, this book provides clear and comprehensive explanation of how Digital Signal Processing (DSP) and Computational Intelligence (CI) techniques can be applied to solve problems in the power system. Its unique coverage bridges the gap between DSP, electrical power and energy engineering systems, showing many different techniques applied to typical and expected system conditions with practical power system examples. Surveying all recent advances on DSP for power systems, this book enables engineers and researchers to understand the current state of the art and to develop new tools. It presents: an overview on the power system and electric signals, with description of the basic concepts of DSP commonly found in power system problems the application of several signal processing tools to problems, looking at power signal estimation and decomposition, pattern recognition techniques, detection of the power system signal variations description of DSP in relation to measurements, power quality, monitoring, protection and control, and wide area monitoring a companion website with real signal data, several Matlab codes with examples, DSP scripts and samples of signals for further processing, understanding and analysis Practicing power systems engineers and utility engineers will find this book invaluable, as will researchers of electrical power and energy systems, postgraduate electrical engineering students, and staff at utility companies"-- Provided by publisher.
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Includes bibliographical references and index.

"With special relation to smart grids, this book provides clear and comprehensive explanation of how Digital Signal Processing (DSP) and Computational Intelligence (CI) techniques can be applied to solve problems in the power system. Its unique coverage bridges the gap between DSP, electrical power and energy engineering systems, showing many different techniques applied to typical and expected system conditions with practical power system examples. Surveying all recent advances on DSP for power systems, this book enables engineers and researchers to understand the current state of the art and to develop new tools. It presents: an overview on the power system and electric signals, with description of the basic concepts of DSP commonly found in power system problems the application of several signal processing tools to problems, looking at power signal estimation and decomposition, pattern recognition techniques, detection of the power system signal variations description of DSP in relation to measurements, power quality, monitoring, protection and control, and wide area monitoring a companion website with real signal data, several Matlab codes with examples, DSP scripts and samples of signals for further processing, understanding and analysis Practicing power systems engineers and utility engineers will find this book invaluable, as will researchers of electrical power and energy systems, postgraduate electrical engineering students, and staff at utility companies"-- Provided by publisher.

Print version record.

Power Systems Signal Processing for Smart Grids; Contents; About the Authors; Preface; Accompanying Websites; Acknowledgments; 1 Introduction; 1.1 Introduction; 1.2 The Future Grid; 1.3 Motivation and Objectives; 1.4 Signal Processing Framework; 1.5 Conclusions; References; 2 Power Systems and Signal Processing; 2.1 Introduction; 2.2 Dynamic Overvoltage; 2.2.1 Sustained Overvoltage; 2.2.2 Lightning Surge; 2.2.3 Switching Surges; 2.2.4 Switching of Capacitor Banks; 2.3 Fault Current and DC Component; 2.4 Voltage Sags and Voltage Swells; 2.5 Voltage Fluctuations.

2.6 Voltage and Current Imbalance2.7 Harmonics and Interharmonics; 2.8 Inrush Current in Power Transformers; 2.9 Over-Excitation of Transformers; 2.10 Transients in Instrument Transformers; 2.10.1 Current Transformer (CT) Saturation (Protection Services); 2.10.2 Capacitive Voltage Transformer (CVT) Transients; 2.11 Ferroresonance; 2.12 Frequency Variation; 2.13 Other Kinds of Phenomena and their Signals; 2.14 Conclusions; References; 3 Transducers and Acquisition Systems; 3.1 Introduction; 3.2 Voltage Transformers (VTs); 3.3 Capacitor Voltage Transformers; 3.4 Current Transformers.

3.5 Non-Conventional Transducers3.5.1 Resistive Voltage Divider; 3.5.2 Optical Voltage Transducer; 3.5.3 Rogowski Coil; 3.5.4 Optical Current Transducer; 3.6 Analog-to-Digital Conversion Processing; 3.6.1 Supervision and Control; 3.6.2 Protection; 3.6.3 Power Quality; 3.7 Mathematical Model for Noise; 3.8 Sampling and the Anti-Aliasing Filtering; 3.9 Sampling Rate for Power System Application; 3.10 Smart-Grid Context and Conclusions; References; 4 Discrete Transforms; 4.1 Introduction; 4.2 Representation of Periodic Signals using Fourier Series; 4.2.1 Computation of Series Coefficients.

4.2.2 The Exponential Fourier Series4.2.3 Relationship between the Exponential and Trigonometric Coefficients; 4.2.4 Harmonics in Power Systems; 4.2.5 Proprieties of a Fourier Series; 4.3 A Fourier Transform; 4.3.1 Introduction and Examples; 4.3.2 Fourier Transform Properties; 4.4 The Sampling Theorem; 4.5 The Discrete-Time Fourier Transform; 4.5.1 DTFT Pairs; 4.5.2 Properties of DTFT; 4.6 The Discrete Fourier Transform (DFT); 4.6.1 Sampling the Fourier Transform; 4.6.2 Discrete Fourier Transform Theorems; 4.7 Recursive DFT; 4.8 Filtering Interpretation of DFT.

4.8.1 Frequency Response of DFT Filter4.8.2 Asynchronous Sampling; 4.9 The z-Transform; 4.9.1 Rational z-Transforms; 4.9.2 Stability of Rational Transfer Function; 4.9.3 Some Common z-Transform Pairs; 4.9.4 z-Transform Properties; 4.10 Conclusions; References; 5 Basic Power Systems Signal Processing; 5.1 Introduction; 5.2 Linear and Time-Invariant Systems; 5.2.1 Frequency Response of LTI System; 5.2.2 Linear Phase FIR Filter; 5.3 Basic Digital System and Power System Applications; 5.3.1 Moving Average Systems: Application; 5.3.2 RMS Estimation.

Electrical & Electronic Engineering