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Digital signal processing in power engineering
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  • Digital signal processing in power engineering
ID: 57322
Eugeniusz Rosołowski
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ISBN 83-87674-38-9
Author: Eugeniusz Rosołowski
Publisher: EXIT

About the book


The book presents methods of digital signal processing used in modern electric power automation systems, in particular power protection automation. The algorithms of quick measurements of electrical quantities are discussed, which are the basis for decision making by these systems. The analysis of the influence of various types of disturbances accompanying faults in the electrical network on the accuracy and speed of event evaluation in the supervised system is carried out.

A large part of the book is devoted to the application of artificial intelligence methods in power engineering, in particular for the recognition and classification of disturbances, correction of measuring transducers, measurement of electrical quantities and decision making.

The book is mainly addressed to readers connected with the power industry: students, PhD students and constructors of modern control and measurement systems in this area. The introduction to issues related to disturbances in the power system and numerous examples illustrating the specifics of the problems considered allow us to recommend this to specialists in the field of digital signal processing and artificial intelligence methods, who in this way can find a grateful field of application of their own ideas.


Table of Contents

From the author

List of important markings

1. Introduction to electrical protection automation

1.1. Introductory remarks
1.2. Disturbances in the power system
1.3. Tasks of electrical protection automation
1.4. The concept of relay protections
1.5. Criteria used in electrical power protections
1.6. Protection switches
1.7. Integrated control systems for a power station
1.8. Summary
1.9. Literature

2. Principles of digital signal processing

2.1. Admission
2.2. Basics of mathematical signal processing
2.3. Digital filtration
2.4. Digital correlation
2.5. Time-frequency transformation
2.6. Literature

3. Estimation of electrical signals parameters

3.1. Introduction
3.2. Models of process signals
3.3. Basic algorithms for measuring orthogonal components
3.4. Least squares method
3.5. Status observers
3.6. Kalman filtration
3.7. Summary
3.8. Literature

4. Estimation of criterion values

4.1. Introduction
4.2. Measurement of the effective value of the signal
4.3. Complex signal estimation
4.4. Power measurement
4.5. Measurement of short circuit circuit parameters
4.6. Estimation of symmetrical components
4.7. Signal frequency measurement
4.8. Summary
4.9. Literature

5. Compensation of measuring errors

5.1. Introduction
5.2. The transition state of algorithms
5.3. Dynamic errors of algorithms
5.4. Compensation of errors from the aperiodic component
5.5. Errors due to the change in signal frequency
5.6. Summary
5.7. Literature

6. Methods of artificial intelligence in electric power engineering

6.1. Admission
6.2. Expert systems
6.3. Fuzzy systems
6.4. Artificial neural networks
6.5. Summary
6.6. Literature
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