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Power systems signal processing for smart grids /
"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 p...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Chichester, West Sussex :
John Wiley & Sons,
2014.
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| Edición: | First edition. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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.