Emerging Techniques in Power System Analysis

by Dong, Zhaoyang; Zhang, Pei

• ISBN13: 9783642042812
• ISBN10: 3642042813
• eBook ISBN(s): 9783642042829
• Edition: 1st
• Format: Hardcover
• Copyright: 2010-03-06
• Publisher: Springer Verlag

Summary

"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, Hong Kong. Pei Zhang is program manager at the Electric Power Research Institute (EPRI), USA.

Author Biography

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.

Table of Contents

Introduction	p. 1
Principles of Deregulation	p. 1
Overview of Deregulation Worldwide	p. 2
Regulated vs Deregulated	p. 3
Typical Electricity Markets	p. 5
Uncertainties in a Power System	p. 6
Load Modeling Issues	p. 7
Distributed Generation	p. 10
Situational Awareness	p. 10
Control Performance	p. 11
Local Protection and Control	p. 12
Centralized Protection and Control	p. 14
Possible Coordination Problem in the Existing Protection and Control System	p. 15
Two Scenarios to Illustrate the Coordination Issues Among Protection and Control Systems	p. 16
Summary	p. 19
References	p. 19
Fundamentals of Emerging Techniques	p. 23
Power System Cascading Failure and Analysis Techniques	p. 23
Data Mining and Its Application in Power System Analysis	p. 27
Grid Computing	p. 29
Probabilistic vs Deterministic Approaches	p. 31
Phasor Measurement Units	p. 34
Topological Methods	p. 35
Power System Vulnerability Assessment	p. 36
Summary	p. 39
References	p. 39
Data Mining Techniques and Its Application in Power Industry	p. 45
Introduction	p. 45
Fundamentals of Data Mining	p. 46
Correlation, Classification and Regression	p. 47
Available Data Mining Tools	p. 49
Data Mining based Market Data Analysis	p. 51
Introduction to Electricity Price Forecasting	p. 51
The Price Spikes in an Electricity Market	p. 52
Framework for Price Spike Forecasting	p. 54
Problem Formulation of Interval Price Forecasting	p. 63
The Interval Forecasting Approach	p. 65
Data Mining based Power System Security Assessment	p. 70
Background	p. 72
Network Pattern Mining and Instability Prediction	p. 74
Case Studies	p. 79
Case Study on Price Spike Forecasting	p. 80
Case Study on Interval Price Forecasting	p. 83
Case Study on Security Assessment	p. 89
Summary	p. 92
References	p. 92
Grid Computing	p. 95
Introduction	p. 95
Fundamentals of Grid Computing	p. 96
Architecture	p. 97
Features and Functionalities	p. 98
Grid Computing vs Parallel and Distributed Computing	p. 100
Commonly used Grid Computing Packages	p. 101
Available Packages	p. 101
Projects	p. 102
Applications in Power Systems	p. 104
Grid Computing based Security Assessment	p. 105
Grid Computing based Reliability Assessment	p. 107
Grid Computing based Power Market Analysis	p. 108
Case Studies	p. 109
Probabilistic Load Flow	p. 109
Power System Contingency Analysis	p. 111
Performance Comparison	p. 111
Summary	p. 113
References	p. 113
Probabilistic vs Deterministic Power System Stability and Reliability Assessment	p. 117
Introduction	p. 117
Identify the Needs for The Probabilistic Approach	p. 118
Power System Stability Analysis	p. 118
Power System Reliability Analysis	p. 119
Power System Planning	p. 120
Available Tools for Probabilistic Analysis	p. 121
Power System Stability Analysis	p. 121
Power System Reliability Analysis	p. 123
Power System Planning	p. 123
Probabilistic Stability Assessment	p. 125
Probabilistic Transient Stability Assessment Methodology	p. 125
Probabilistic Small Signal Stability Assessment Methodology	p. 127
Probabilistic Reliability Assessment	p. 128
Power System Reliability Assessment	p. 128
Probabilistic Reliability Assessment Methodology	p. 131
Probabilistic System Planning	p. 135
Candidates Pool Construction	p. 136
Feasible Options Selection	p. 136
Reliability and Cost Evaluation	p. 136
Final Adjustment	p. 136
Case Studies	p. 137
A Probabilistic Small Signal Stability Assessment Example	p. 137
Probabilistic Load Flow	p. 140
Summary	p. 142
References	p. 143
Phasor Measurement Unit and Its Application in Modern Power Systems	p. 147
Introduction	p. 147
State Estimation	p. 151
An Overview	p. 151
Weighted Least Squares Method	p. 152
Enhanced State Estimation	p. 154
Stability Analysis	p. 157
Voltage and Transient Stability	p. 158
Small Signal Stability-Oscillations	p. 160
Event Identification and Fault Location	p. 162
Enhance Situation Awareness	p. 164
Model Validation	p. 167
Case Study	p. 169
Overview	p. 170
Formulation of Characteristic Ellipsoids	p. 170
Geometry Properties of Characteristic Ellipsoids	p. 172
Interpretation Rules for Characteristic Ellipsoids	p. 173
Simulation Results	p. 175
Conclusion	p. 179
References	p. 179
Conclusions and Future Trends in Emerging Techniques	p. 185
Identified Emerging Techniques	p. 185
Trends in Emerging Techniques	p. 186
Further Reading	p. 187
Economic Impact of Emission Trading Schemes and Carbon Production Reduction Schemes	p. 187
Power Generation based on Renewable Resources such as Wind	p. 189
Smart Grid	p. 190
Summary	p. 191
References	p. 191
Appendix	p. 195
Weibull Distribution	p. 195
An Illustrative Example	p. 196
Eigenvalues and Eigenvectors	p. 197
Eigenvalues and Stability	p. 198
References	p. 200
Index	p. 201
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