O'Reilly logo

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Power System Optimization

Book Description

An original look from a microeconomic perspective for power system optimization and its application to electricity markets

  • Presents a new and systematic viewpoint for power system optimization inspired by microeconomics and game theory
  • A timely and important advanced reference with the fast growth of smart grids
  • Professor Chen is a pioneer of applying experimental economics to the electricity market trading mechanism, and this work brings together the latest research
  • A companion website is available Edit

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