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Power System Optimization

Power System Optimization

          
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About the Book

This book aims to address the issues of power system optimization from a microeconomic point of view. It is well known that the optimization in power system planning/operation and electricity markets is not a new area. Recent advances have attempted to focus on the application of microeconomics and game theory to the optimization of power system. The state of art of literature still has not addressed the issue with a systematic investigation. This book attempts to summarize the research outcome of the application of microeconomics and game theory and related approaches to power systems and electricity markets.  Special Features • 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 Table of Content Foreword Preface Acknowledgments List of Figures List of Tables Acronyms Symbols 1 Introduction 1.1 Power System Optimal Planning 1.2 Power System Optimal Operation 1.3 Power System Reactive Power Optimization 1.4 Optimization in Electricity Markets 2 Theories and Approaches of Large-Scale Complex Systems Optimization 2.1 Basic Theories of Large-scale Complex Systems 2.2 Hierarchical Optimization Approaches 2.3 Lagrangian Relaxation Method 2.4 Cooperative Coevolutionary Approach for Large-scale Complex System Optimization 3 Optimization Approaches in Microeconomics and Game Theory 3.1 General Equilibrium Theory 3.2 Non cooperative Game Theory 3.3 Mechanism Design 3.4 Duality Principle and Its Economic Implications 4 Power System Planning 4.1 Generation Planning Based on Lagrangian Relaxation Method 4.2 Transmission Planning Based on Improved Genetic Algorithm 4.3 Transmission Planning Based on Ordinal Optimization 4.4 Integrated Planning of Distribution Systems Based on Hybrid Intelligent Algorithm 5 Power System Operation 5.1 Unit Commitment Based on Cooperative Coevolutionary Algorithm 5.2 Security-Constrained Unit Commitment with Wind Power Integration Based on Mixed Integer Programming 5.3 Optimal Power Flow with Discrete Variables Based on Hybrid Intelligent Algorithm 5.4 Optimal Power Flow with Discrete Variables Based on Interior Point Cutting Plane Method 6 Power System Reactive Power Optimization 6.1 Space Decoupling for Reactive Power Optimization 6.2 Time Decoupling for Reactive Power Optimization 6.3 Game Theory Model of Multi-agent Volt / VAR Control 6.4 Volt/VAR Control in Distribution Systems Using an Approach Based on Time Interval 7 Modeling and Analysis of Electricity Markets 7.1 Oligopolistic Electricity Market Analysis Based on Coevolutionary Computation 7.2 Supply Function Equilibrium Analysis Based on Coevolutionary Computation 7.3 Searching for Electricity Market Equilibrium with Complex Constraints Using Coevolutionary Approach 7.4 Analyzing Two-Settlement Electricity Market Equilibrium by Coevolutionary Computation Approach 8 Future Developments 8.1 New Factors in Power System Optimization 8.2 Challenges and Possible Solutions in Power System Optimization Appendix A.1 Header File A.2 Species Class A.3 Ecosystem Class A.4 Main Function References Index


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Product Details
  • ISBN-13: 9788126565030
  • Publisher: Wiley
  • Binding: Paperback
  • No of Pages: 400
  • ISBN-10: 8126565039
  • Publisher Date: 2016
  • Language: English

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