Computer Relaying for Power Systems
Clasificación: | Libro Electrónico |
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Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Newark :
John Wiley & Sons, Incorporated,
2009.
|
Colección: | New York Academy of Sciences Ser.
|
Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Intro
- Computer Relaying for Power Systems
- Contents
- About the Authors
- Preface to the First Edition
- Preface to the Second Edition
- Glossary of Acronyms
- 1 Introduction to computer relaying
- 1.1 Development of computer relaying
- 1.2 Historical background
- 1.3 Expected benefits of computer relaying
- 1.3.1 Cost
- 1.3.2 Self-checking and reliability
- 1.3.3 System integration and digital environment
- 1.3.4 Functional flexibility and adaptive relaying
- 1.4 Computer relay architecture
- 1.5 Analog to digital converters
- 1.5.1 Successive approximation ADC
- 1.5.2 Delta-sigma ADC
- 1.6 Anti-aliasing filters
- 1.7 Substation computer hierarchy
- 1.8 Summary
- Problems
- References
- 2 Relaying practices
- 2.1 Introduction to protection systems
- 2.2 Functions of a protection system
- 2.3 Protection of transmission lines
- 2.3.1 Overcurrent relays
- 2.3.2 Directional relays
- 2.3.3 Distance relays
- 2.3.4 Phasor diagrams and R-X diagrams
- 2.3.5 Pilot relaying
- 2.4 Transformer, reactor and generator protection
- 2.4.1 Transformer protection
- 2.4.2 Reactor protection
- 2.4.3 Generator protection
- 2.5 Bus protection
- 2.6 Performance of current and voltage transformers
- 2.6.1 Current transformers
- 2.6.2 Voltage transformers
- 2.6.3 Electronic current and voltage transformers
- 2.7 Summary
- Problems
- References
- 3 Mathematical basis for protective relaying algorithms
- 3.1 Introduction
- 3.2 Fourier series
- 3.2.1 Exponential fourier series
- 3.2.2 Sine and cosine fourier series
- 3.2.3 Phasors
- 3.3 Other orthogonal expansions
- 3.3.1 Walsh functions
- 3.4 Fourier transforms
- 3.4.1 Properties of fourier transforms
- 3.5 Use of fourier transforms
- 3.5.1 Sampling
- 3.6 Discrete fourier transform
- 3.7 Introduction to probability and random process
- 3.7.1 Random variables and probability distributions
- 3.7.2 Probability distributions and densities
- 3.7.3 Expectation
- 3.7.4 Jointly distributed random variables
- 3.7.5 Independence
- 3.7.6 Linear estimation
- 3.7.7 Weighted least squares
- 3.8 Random processes
- 3.8.1 Filtering of random processes
- 3.9 Kalman filtering
- 3.10 Summary
- Problems
- References
- 4 Digital filters
- 4.1 Introduction
- 4.2 Discrete time systems
- 4.2.1 Operations on discrete time sequences
- 4.2.2 Convolution
- 4.3 Discrete time systems
- 4.4 Z Transforms
- 4.4.1 Power series
- 4.4.2 Z Transforms
- 4.4.3 Inverse Z transforms
- 4.4.4 Properties of Z transforms
- 4.4.5 Discrete time fourier transform
- 4.5 Digital filters
- 4.6 Windows and windowing
- 4.7 Linear phase
- 4.8 Approximation
- filter synthesis
- 4.9 Wavelets
- 4.10 Elements of artificial intelligence
- 4.10.1 Artificial neural networks
- 4.10.2 Decision trees
- 4.10.3 Agents
- 4.11 Conclusion
- Problems
- References
- 5 Transmission line relaying
- 5.1 Introduction
- 5.2 Sources of error