Dong / Zhang / Ma Emerging Techniques in Power System Analysis

1. Auflage 2010
ISBN: 978-3-642-04282-9
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 209 Seiten

'Emerging Techniques in Power System Analysis' identifies the new challenges facing the power industry following the deregulation. The book presents emerging techniques including data mining, grid computing, probabilistic methods, phasor measurement unit (PMU) and how to apply those techniques to solving the technical challenges. The book is intended for engineers and managers in the power industry, as well as power engineering researchers and graduate students. Zhaoyang Dong is an associate professor at the Department of Electrical Engineering, The Hong Kong Polytechnic University, China. Pei Zhang is program manager at the Electric Power Research Institute (EPRI), USA.

Autoren/Hrsg.

Dong, Zhaoyang

Zhang, Pei

Ma, Jian

Zhao, Junhua

Ali, Mohsin

Meng, Ke

Yin, Xia

Inhaltsverzeichnis

1;Title Page;3
2;Copyright Page;4
3;Preface;5
4;Table of Contents;7
5;1 Introduction;12
5.1;1.1 Principles of Deregulation;12
5.2;1.2 Overview of Deregulation Worldwide;13
5.2.1;1.2.1 Regulated vs Deregulated;14
5.2.2;1.2.2 Typical Electricity Markets;16
5.3;1.3 Uncertainties in a Power System;17
5.3.1;1.3.1 Load Modeling Issues;18
5.3.2;1.3.2 Distributed Generation;21
5.4;1.4 Situational Awareness;21
5.5;1.5 Control Performance;22
5.5.1;1.5.1 Local Protection and Control;23
5.5.2;1.5.2 Centralized Protection and Control;25
5.5.3;1.5.3 Possible Coordination Problem in the Existing Protection and Control System;26
5.5.4;1.5.4 Two Scenarios to Illustrate the Coordination Issues among Protection and Control Systems;27
5.5.4.1;1) Load Shedding or Generator Tripping;27
5.5.4.2;2) Zone 3 Protection;29
5.6;1.6 Summary;30
5.7;References;30
6;2 Fundamentals of Emerging Techniques;33
6.1;2.1 Power System Cascading Failure and Analysis Techniques;33
6.2;2.2 Data Mining and Its Application in Power System Analysis;37
6.3;2.3 Grid Computing;39
6.4;2.4 Probabilistic vs Deterministic Approaches;41
6.5;2.5 Phasor Measurement Units;44
6.6;2.6 Topological Methods;45
6.7;2.7 Power System Vulnerability Assessment;46
6.8;2.8 Summary;49
7;3 Data Mining Techniques and Its Application in Power Industry;55
7.1;3.1 Introduction;55
7.2;3.2 Fundamentals of Data Mining;56
7.3;3.3 Correlation, Classification and Regression;57
7.4;3.4 Available Data Mining Tools;59
7.5;3.5 Data Mining based Market Data Analysis;61
7.5.1;3.5.1 Introduction to Electricity Price Forecasting;61
7.5.2;3.5.2 The Price Spikes in an Electricity Market;62
7.5.3;3.5.3 Framework for Price Spike Forecasting;64
7.5.4;3.5.4 Problem Formulation of Interval Price Forecasting;73
7.5.5;3.5.5 The Interval Forecasting Approach;75
7.6;3.6 Data Mining based Power System Security Assessment;80
7.6.1;3.6.1 Background;82
7.6.2;3.6.2 Network Pattern Mining and Instability Prediction;84
7.7;3.7 Case Studies;89
7.7.1;3.7.2 Case Study on Interval Price Forecasting;93
7.7.2;3.7.3 Case Study on Security Assessment;99
7.8;3.8 Summary;102
7.9;References;102
8;4 Grid Computing;105
8.1;4.1 Introduction;105
8.2;4.2 Fundamentals of Grid Computing;106
8.2.1;4.2.1 Architecture;107
8.2.2;4.2.2 Features and Functionalities;108
8.2.3;4.2.3 Grid Computing vs Parallel and Distributed Computing;110
8.3;4.3 Commonly used Grid Computing Packages;111
8.3.1;4.3.1 Available Packages;111
8.3.2;4.3.2 Projects;112
8.3.3;4.3.3 Applications in Power Systems;114
8.4;4.4 Grid Computing based Security Assessment;115
8.5;4.5 Grid Computing based Reliability Assessment;117
8.6;4.6 Grid Computing based Power Market Analysis;118
8.7;4.7 Case Studies;119
8.7.1;4.7.1 Probabilistic Load Flow;119
8.7.2;4.7.2 Power System Contingency Analysis;121
8.7.3;4.7.3 Performance Comparison;121
8.8;4.8 Summary;123
9;5 Probabilistic vs Deterministic Power System Stability and Reliability Assessment;126
9.1;5.1 Introduction;126
9.2;5.2 Identify the Needs for the Probabilistic Approach;127
9.2.1;5.2.1 Power System Stability Analysis;127
9.2.2;5.2.2 Power System Reliability Analysis;128
9.2.3;5.2.3 Power System Planning;129
9.3;5.3 Available Tools for Probabilistic Analysis;130
9.3.1;5.3.1 Power System Stability Analysis;130
9.3.2;5.3.2 Power System Reliability Analysis;132
9.3.3;5.3.3 Power System Planning;132
9.4;5.4 Probabilistic Stability Assessment;134
9.4.1;5.4.1 Probabilistic Transient Stability Assessment Methodology;134
9.4.2;5.4.2 Probabilistic Small Signal Stability Assessment Methodology;136
9.5;5.5 Probabilistic Reliability Assessment;137
9.5.1;5.5.1 Power System Reliability Assessment;137
9.5.2;5.5.2 Probabilistic Reliability Assessment Methodology;140
9.6;5.6 Probabilistic System Planning;144
9.6.1;5.6.1 Candidates Pool Construction;144
9.6.2;5.6.2 Feasible Options Selection;145
9.6.3;5.6.3 Reliability and Cost Evaluation;145
9.6.4;5.6.4 Final Adjustment;145
9.7;5.7 Case Studies;146
9.7.1;5.7.1 A Probabilistic Small Signal Stability Assessment Example;146
9.7.2;5.7.2 Probabilistic Load Flow;149
9.8;5.8 Summary;151
9.9;References;152
10;6 Phasor Measurement Unit and Its Applicationin Modern Power Systems;155
10.1;6.1 Introduction;155
10.2;6.2 State Estimation;159
10.2.1;6.2.1 An Overview;159
10.2.2;6.2.2 Weighted Least Squares Method;160
10.2.3;6.2.3 Enhanced State Estimation;162
10.3;6.3 Stability Analysis;165
10.3.1;6.3.1 Voltage and Transient Stability;166
10.3.2;6.3.2 Small Signal Stability—Oscillations;168
10.4;6.4 Event Identification and Fault Location;170
10.5;6.5 Enhance Situation Awareness;172
10.6;6.6 Model Validation;175
10.7;6.7 Case Study;177
10.7.1;6.7.1 Overview;178
10.7.2;6.7.2 Formulation of Characteristic Ellipsoids;178
10.7.3;6.7.3 Geometry Properties of Characteristic Ellipsoids;180
10.7.4;6.7.4 Interpretation Rules for Characteristic Ellipsoids;181
10.7.5;6.7.5 Simulation Results;183
10.8;6.8 Conclusion;187
10.9;References;187
11;7 Conclusions and Future Trends in Emerging Techniques;193
11.1;7.1 Identified Emerging Techniques;193
11.2;7.2 Trends in Emerging Techniques;194
11.3;7.3 Further Reading;195
11.3.1;7.3.1 Economic Impact of Emission Trading Schemes and Carbon Production Reduction Schemes;195
11.3.2;7.3.2 Power Generation based on Renewable Resources such as Wind;197
11.3.3;7.3.3 Smart Grid;198
11.4;7.4 Summary;199
11.5;References;199
12;Appendix;202
12.1;A.1 Weibull Distribution;202
12.1.1;A1.1 An Illustrative Example;203
12.2;A.2 Eigenvalues and Eigenvectors;204
12.3;A.3 Eigenvalues and Stability;205
12.4;References;207
13;Index;208