Power System Optimization

Table of contents

1. Title Page
2. Copyright
3. Dedication
4. Contributors
5. Foreword
6. Preface
7. Acknowledgments
8. List of Figures
9. List of Tables
10. Acronyms
11. Symbols
12. Chapter 1: Introduction
    1. 1.1 Power System Optimal Planning
    2. 1.2 Power System Optimal Operation
    3. 1.3 Power System Reactive Power Optimization
    4. 1.4 Optimization in Electricity Markets
13. Chapter 2: Theories and Approaches of Large-Scale Complex Systems Optimization
    1. 2.1 Basic Theories of Large-scale Complex Systems
    2. 2.2 Hierarchical Optimization Approaches
    3. 2.3 Lagrangian Relaxation Method
    4. 2.4 Cooperative Coevolutionary Approach for Large-scale Complex System Optimization
14. Chapter 3: Optimization Approaches in Microeconomics and Game Theory
    1. 3.1 General Equilibrium Theory
    2. 3.2 Noncooperative Game Theory
    3. 3.3 Mechanism Design
    4. 3.4 Duality Principle and Its Economic Implications
15. Chapter 4: Power System Planning
    1. 4.1 Generation Planning Based on Lagrangian Relaxation Method
    2. 4.2 Transmission Planning Based on Improved Genetic Algorithm
    3. 4.3 Transmission Planning Based on Ordinal Optimization
    4. 4.4 Integrated Planning of Distribution Systems Based on Hybrid Intelligent Algorithm
16. Chapter 5: Power System Operation
    1. 5.1 Unit Commitment Based on Cooperative Coevolutionary Algorithm
    2. 5.2 Security-Constrained Unit Commitment with Wind Power Integration Based on Mixed Integer Programming
    3. 5.3 Optimal Power Flow with Discrete Variables Based on Hybrid Intelligent Algorithm
    4. 5.4 Optimal Power Flow with Discrete Variables Based on Interior Point Cutting Plane Method
17. Chapter 6: Power System Reactive Power Optimization
    1. 6.1 Space Decoupling for Reactive Power Optimization
    2. 6.2 Time Decoupling for Reactive Power Optimization
    3. 6.3 Game Theory Model of Multi-agent Volt/VAR Control
    4. 6.4 Volt/VAR Control in Distribution Systems Using an Approach Based on Time Interval
18. Chapter 7: Modeling and Analysis of Electricity Markets
    1. 7.1 Oligopolistic Electricity Market Analysis Based on Coevolutionary Computation
    2. 7.2 Supply Function Equilibrium Analysis Based on Coevolutionary Computation
    3. 7.3 Searching for Electricity Market Equilibrium with Complex Constraints Using Coevolutionary Approach
    4. 7.4 Analyzing Two-Settlement Electricity Market Equilibrium by Coevolutionary Computation Approach
19. Chapter 8: Future Developments
    1. 8.1 New Factors in Power System Optimization
    2. 8.2 Challenges and Possible Solutions in Power System Optimization
20. Appendix
    1. A.1 Header File
    2. A.2 Species Class
    3. A.3 Ecosystem Class
    4. A.4 Main Function
21. References
22. Index
23. End User License Agreement