Power System Optimization

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

Autorentext

Haoyong Chen, South China University of Technology, P. R. China Honwing Ngan, Asia-Pacific Research Institute of Smart Grid and Renewable Energy, Hong Kong Yongjun Zhang, South China University of Technology, P. R. China

Klappentext
POWER SYSTEM OPTIMIZATION LARGE-SCALE COMPLEX SYSTEMS APPROACHES A consolidation of recent advances and research, this book addresses the issues of power system optimization based on large-scale complex systems approaches. This book gathers approaches from different disciplines such as systems engineering, operations research, and microeconomics. The vast topics of power system optimization are presented in a unified manner, which include: power system planning, operation, reactive power optimization, and electricity markets.

• Presents a new and systematic viewpoint of large-scale complex systems approaches for power system optimization
• Provides timely and important insights that can be used for smart grids
• Covers a range of topics and applications from different disciplines like systems engineering, systems operations and optimization, and microeconomics Written by a pioneer of large-scale complex systems approaches, Power System Optimization: Large-scale Complex Systems Approaches is a timely reference for power system planners and operators, as well as advanced students of power engineering.

Inhalt
Foreword xvii

Preface xix

Acknowledgments xxv

List of Figures xxvii

List of Tables xxxi

Acronyms xxxv

Symbols xxxix

1 Introduction 1

1.1 Power System Optimal Planning 2

1.1.1 Generation Expansion Planning 3

1.1.2 Transmission Expansion Planning 5

1.1.3 Distribution System Planning 7

1.2 Power System Optimal Operation 8

1.2.1 Unit Commitment and Hydrothermal Scheduling 8

1.2.2 Economic Dispatch 12

1.2.3 Optimal Load Flow 14

1.3 Power System Reactive Power Optimization 16

1.4 Optimization in Electricity Markets 18

1.4.1 Strategic Participants' Bids 18

1.4.2 Market Clearing Model 20

1.4.3 Market Equilibrium Problem 21

2 Theories and Approaches of Large-Scale Complex Systems Optimization 22

2.1 Basic Theories of Large-scale Complex Systems 23

2.1.1 Hierarchical Structures of Large-scale Complex Systems 24

2.1.2 Basic Principles of Coordination 27

2.1.3 Decomposition and Coordination of Large-scale Systems 28

2.2 Hierarchical Optimization Approaches 30

2.3 Lagrangian Relaxation Method 36

2.4 Cooperative Coevolutionary Approach for Large-scale Complex System Optimization 40

2.4.1 Framework of Cooperative Coevolution 41

2.4.2 Cooperative Coevolutionary Genetic Algorithms and the Numerical Experiments 43

2.4.3 Basic Theories of CCA 45

2.4.4 CCA's Potential Applications in Power Systems 46

3 Optimization Approaches in Microeconomics and Game Theory 49

3.1 General Equilibrium Theory 51

3.1.1 Basic Model of a Competitive Economy 52

3.1.2 Walrasian Equilibrium 53

3.1.3 First and Second Fundamental Theorems of Welfare Economics 54

3.2 Noncooperative Game Theory 55

3.2.1 Representation of Games 55

3.2.2 Existence of Equilibrium 60

3.3 Mechanism Design 61

3.3.1 Principles of Mechanism Design 61

3.3.2 Optimization of a Single Commodity Auction 63

3.4 Duality Principle and Its Economic Implications 66

3.4.1 Economic Implication of Linear Programming Duality 66

3.4.2 Economic Implication of Duality in Nonlinear Programming 68

3.4.3 Economic Implication of Lagrangian Relaxation Method 71

4 Power System Planning 76

4.1 Generation Planning Based on Lagrangian Relaxation Method 76

4.1.1 Problem Formulation 78

4.1.2 Lagrangian Relaxation for Generation Investment Decision 80

4.1.3 Probabilistic Production Simulation 85

4.1.4 Example 87

4.1.5 Summary 91

4.2 Transmission Planning Based on Improved Genetic Algorithm 91

4.2.1 Mathematical Model 93

4.2.2 Improvements of Genetic Algorithm 95

4.2.3 Example 96

4.2.4 Summary 101

4.3 Transmission Planning Based on Ordinal Optimization 103

4.3.1 Introduction 103

4.3.2 Transmission Expansion Planning Problem 104

4.3.3 Ordinal Optimization 107

4.3.4 Crude Model for Transmission Planning Problem 111

4.3.5 Example 112

4.3.6 Summary 120

4.4 Integrated Planning of Distribution Systems Based on Hybrid Intelligent Algorithm 121

4.4.1 Mathematical Model of Integrated Planning Based on DG and DSR 122

4.4.2 Hybrid Intelligent Algorithm 124

4.4.3 Example 125

4.4.4 Summary 129

5 Power System Operation 131

5.1 Unit Commitment Based on Cooperative Coevolutionary Algorithm 131

5.1.1 Problem Formulation 132

5.1.2 Cooperative Coevolutionary Algorithm 133

5.1.3 Form Primal Feasible Solution Based on the Dual Results 138

5.1.4 Dynamic Economic Dispatch 140

5.1.5 Example 146

5.1.6 Summary 148

5.2 Security-Constrained Unit Commitment with Wind Power Integration Based on Mixed Integer Programming 149 <p&g...