Power System Loads and Power System Stability (Springer Theses)

✍ Scribed by Yue Zhu

• Publisher: Springer
• Year: 2020
• Tongue: English
• Leaves: 185
• Category: Library

✦ Synopsis

This thesis develops a pioneering methodology and a concept for identifying critical loads and load model parameters in large power networks based on their influence on power system stability.

The research described in the thesis first develops an automatic load modelling tool (ALMT) that can be used to automatically build load model from actual measured power system data without human intervention and the benefits of the ALMY are explored. Secondly, it develops a pioneering framework based on Morris screening method for ranking power system load model parameters based on their influence on overall power system stability (voltage, frequency, transient and small disturbance stability) considering different load models and loading conditions. Thirdly, a novel probabilistic methodology for determining the accuracy levels of critical load model parameters has been developed.

This book will be of interest to students and researchers within the field of electrical engineering, as well as industry professionals.

✦ Table of Contents

Supervisor’s Foreword
Abstract
Acknowledgements
Contents
Nomenclature
List of Figures
List of Tables
1 Introduction
1.1 Power System Loads
1.1.1 Load Characteristics
1.1.2 Importance of Load Modelling
1.2 Power System Stability
1.2.1 Voltage Stability
1.2.2 Frequency Stability
1.2.3 Small Disturbance Stability
1.2.4 Transient Stability
1.3 Review of the Past Work
1.3.1 Ranking of Power System Components for Small Disturbance Stability
1.3.2 Ranking of Power System Components for Voltage Stability
1.3.3 Ranking of Power System Components for Transient Stability
1.3.4 Summary
1.4 Aims and Objectives of the Research
1.4.1 Aims of the Research
1.4.2 Objectives of the Research
1.5 Main Contributions of the Research
1.6 Thesis Overview
References
2 Power System Load Models and Load Modelling
2.1 Load Models
2.1.1 Static Exponential Load Model
2.1.2 Polynomial Load Model
2.1.3 Linear Load Model
2.1.4 Static Induction Motor Load Model
2.1.5 Exponential Dynamic Load Model
2.1.6 Composite Load Model
2.2 Load Modelling Methodology
2.2.1 Component Based Load Modelling Approach
2.2.2 Measurement Based Load Modelling Approach
2.3 Automatic Identification of Power System Load Models
2.3.1 Data Processing
2.3.2 Load Model Selection
2.3.3 Load Model Parameter Fitting
2.3.4 Case Studies and Results
2.3.5 Summary
References
3 Power System Stability Indices
3.1 Power System Stability Indices
3.1.1 Voltage Stability Assessment
3.1.2 Small Disturbance Stability Assessment
3.1.3 Transient Stability Assessment
3.1.4 Frequency Stability Assessment
3.2 Review of Voltage Stability Indices
3.2.1 PV Margins
3.2.2 L-Indicator
3.2.3 Impedance Ratio Index
3.2.4 Voltage Collapse Index
3.2.5 Channel Components Transform (CCT)
3.2.6 Diagonal Element Dependent Index
3.2.7 Comparison of Different Voltage Stability Indices
3.3 Review of Small Disturbance Stability Indices
3.3.1 Damping of Critical Mode
3.3.2 Damping Factor of Critical Mode
3.4 Review of Transient Stability Indices
3.4.1 Transient Stability Index
3.4.2 Transient Rotor Angle Severity Index
3.4.3 Generator Specific Indices
3.4.4 Comparison of Different Transient Stability Indices
3.5 Review of Frequency Stability Indices
3.5.1 Frequency Nadir
3.5.2 Rate of Change of Frequency
3.6 Summary
References
4 Probabilistic Assessment and Sensitivity Analysis in Stability Studies
4.1 Probabilistic Modelling of Power System Uncertainties
4.2 Probabilistic Simulation Method
4.2.1 Simulation Requirements for Monte Carlo Simulation
4.3 Sensitivity Analysis Techniques
4.3.1 Comparison of Different Sensitivity Analysis Techniques
4.3.2 Morris Screening Method
4.3.3 Application Example of Morris Screening Method
4.4 Stochastic Dependence of Uncertain Parameters
4.4.1 Pearson Correlation Coefficient
4.4.2 Kernel Density Estimation
4.4.3 Importance of Stochastic Dependence of Load Model Parameters
4.4.4 Modelling Stochastic Dependence
4.5 Summary
References
5 Load Model Parameter Ranking for Different Types of Power System Stability Studies
5.1 Test Network
5.2 Procedure for Parameter Ranking
5.3 Load Model Parameter Ranking for Voltage Stability
5.3.1 Parameter Ranking for Different Load Models
5.3.2 Parameter Ranking for Different Loading Conditions
5.4 Load Model Parameter Ranking for Transient Stability
5.4.1 Parameter Ranking for Different Load Models
5.4.2 Parameter Ranking for Different Loading Conditions
5.5 Load Model Parameter Ranking for Small Disturbance Stability
5.5.1 Parameter Ranking for Different Load Models
5.5.2 Parameter Ranking for Different Loading Conditions
5.6 Load Model Parameter Ranking for Frequency Stability
5.6.1 Parameter Ranking for Different Load Models
5.6.2 Parameter Ranking for Different Loading Conditions
5.7 Summary of Load Model Parameter Ranking
References
6 Factors Affecting Load Model Parameter Ranking
6.1 Introduction
6.2 Effect of Load Size on Parameter Ranking
6.3 Effect of Stochastic Dependence of Load Model Parameters
6.4 Effect of Load Model Type on Parameter Ranking
6.5 Identifying Critical Load Locations
6.5.1 Procedure of Identifying Critical Load Locations
6.5.2 Annual Loading Curve
6.5.3 Critical Load Locations for Voltage Stability
6.5.4 Critical Load Locations for Small Disturbance Stability
6.5.5 Critical Load Locations for Transient Stability
6.5.6 Critical Load Locations for Frequency Stability
6.5.7 Summary on the Effects of Load Location
6.6 Summary
7 Required Accuracy Level of Critical Load Model Parameters
7.1 Introduction
7.2 Procedure of Obtaining Accuracy Levels
7.3 Comparison of Accuracy Levels for Different Load Model Parameters
7.3.1 Same Parameters for Different Loads
7.3.2 Different Parameters of the Same Load
7.4 Comparison of Accuracy Levels for Different Stability Studies
7.4.1 Fixed Standard Deviation
7.4.2 Varying Standard Deviation
7.5 Comparison of Accuracy Levels for Different Loading Conditions
7.6 Summary
References
8 Conclusions and Future Work
8.1 Conclusions
8.2 Future Work
Appendix A Test Network Data
A.1 Load Data
A.2 Generator Data
A.3 Line Data
Appendix B Power Curves
Appendix C Daily Loading Curves
Appendix D Load Model Parameter Ranking Data
Appendix E Publications from the Thesis
E.1 International Journal Papers
E.2 International Conference Papers