Power System Optimization: Large-scale Complex Systems Approaches

Author : Haoyong Chen, Yongjun Zhang, Honwing Ngan
Price : Rs 599.00
ISBN 13 : 9788126565030
ISBN 10 : 8126565039
Pages : 400
Type : Paperbound

9788126565030

Details

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. 

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

Primary: Professional researchers and engineers

Secondary: Graduate and undergraduate students

 

Haoyong Chen, Professor and Assistant Dean, School of Electric Power, South China Univ. of Technology, China. Chen is a Senior IEEE Member. He was the first to apply the cooperative co-evolutionary algorithm to power system unit commitment and expand it to the areas of power system optimal planning/operation, oligopolistic electricity market simulation and analysis. He has been working in this area since 1995 with his research mainly concentrating in the areas of power system planning/operation/control, electricity market modelling/simulation/analysis and smart grids. Chen has been leading a couple of China national scientific and technology research projects.

 

Dr. Yongjun Zhang, Associate Professor, School of Electric Power, South China Univ. of Technology, China. His main research fields include power system operation analysis and control, voltage and reactive power optimization, power system reliability and risk assessment and power system energy saving assessment and planning. He has published some well cited papers in the authoritative international and Chinese journals. In particular, he has many experiences in solving practical engineering problems concerning reactive power optimization. 

 

Dr. Honwing Ngan, of Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong