{"product_id":"power-system-optimization-isbn-9781118724743","title":"Power System Optimization","description":"\u003cp\u003e\u003cb\u003eAn original look from a microeconomic perspective for power system optimization and its application to electricity markets\u003c\/b\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003ePresents a new and systematic viewpoint for power system optimization inspired by microeconomics and game theory\u003c\/li\u003e \u003cli\u003eA timely and important advanced reference with the fast growth of smart grids\u003c\/li\u003e \u003cli\u003eProfessor Chen is a pioneer of applying experimental economics to the electricity market trading mechanism, and this work brings together the latest research\u003c\/li\u003e \u003cli\u003eA companion website is available Edit\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eForeword xvii\u003c\/p\u003e \u003cp\u003ePreface xix\u003c\/p\u003e \u003cp\u003eAcknowledgments xxv\u003c\/p\u003e \u003cp\u003eList of Figures xxvii\u003c\/p\u003e \u003cp\u003eList of Tables xxxi\u003c\/p\u003e \u003cp\u003eAcronyms xxxv\u003c\/p\u003e \u003cp\u003eSymbols xxxix\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Introduction 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Power System Optimal Planning 2\u003c\/p\u003e \u003cp\u003e1.1.1 Generation Expansion Planning 3\u003c\/p\u003e \u003cp\u003e1.1.2 Transmission Expansion Planning 5\u003c\/p\u003e \u003cp\u003e1.1.3 Distribution System Planning 7\u003c\/p\u003e \u003cp\u003e1.2 Power System Optimal Operation 8\u003c\/p\u003e \u003cp\u003e1.2.1 Unit Commitment and Hydrothermal Scheduling 8\u003c\/p\u003e \u003cp\u003e1.2.2 Economic Dispatch 12\u003c\/p\u003e \u003cp\u003e1.2.3 Optimal Load Flow 14\u003c\/p\u003e \u003cp\u003e1.3 Power System Reactive Power Optimization 16\u003c\/p\u003e \u003cp\u003e1.4 Optimization in Electricity Markets 18\u003c\/p\u003e \u003cp\u003e1.4.1 Strategic Participants’ Bids 18\u003c\/p\u003e \u003cp\u003e1.4.2 Market Clearing Model 20\u003c\/p\u003e \u003cp\u003e1.4.3 Market Equilibrium Problem 21\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Theories and Approaches of Large-Scale Complex Systems Optimization 22\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Basic Theories of Large-scale Complex Systems 23\u003c\/p\u003e \u003cp\u003e2.1.1 Hierarchical Structures of Large-scale Complex Systems 24\u003c\/p\u003e \u003cp\u003e2.1.2 Basic Principles of Coordination 27\u003c\/p\u003e \u003cp\u003e2.1.3 Decomposition and Coordination of Large-scale Systems 28\u003c\/p\u003e \u003cp\u003e2.2 Hierarchical Optimization Approaches 30\u003c\/p\u003e \u003cp\u003e2.3 Lagrangian Relaxation Method 36\u003c\/p\u003e \u003cp\u003e2.4 Cooperative Coevolutionary Approach for Large-scale Complex System Optimization 40\u003c\/p\u003e \u003cp\u003e2.4.1 Framework of Cooperative Coevolution 41\u003c\/p\u003e \u003cp\u003e2.4.2 Cooperative Coevolutionary Genetic Algorithms and the Numerical Experiments 43\u003c\/p\u003e \u003cp\u003e2.4.3 Basic Theories of CCA 45\u003c\/p\u003e \u003cp\u003e2.4.4 CCA’s Potential Applications in Power Systems 46\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Optimization Approaches in Microeconomics and Game Theory 49\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 General Equilibrium Theory 51\u003c\/p\u003e \u003cp\u003e3.1.1 Basic Model of a Competitive Economy 52\u003c\/p\u003e \u003cp\u003e3.1.2 Walrasian Equilibrium 53\u003c\/p\u003e \u003cp\u003e3.1.3 First and Second Fundamental Theorems of Welfare Economics 54\u003c\/p\u003e \u003cp\u003e3.2 Noncooperative Game Theory 55\u003c\/p\u003e \u003cp\u003e3.2.1 Representation of Games 55\u003c\/p\u003e \u003cp\u003e3.2.2 Existence of Equilibrium 60\u003c\/p\u003e \u003cp\u003e3.3 Mechanism Design 61\u003c\/p\u003e \u003cp\u003e3.3.1 Principles of Mechanism Design 61\u003c\/p\u003e \u003cp\u003e3.3.2 Optimization of a Single Commodity Auction 63\u003c\/p\u003e \u003cp\u003e3.4 Duality Principle and Its Economic Implications 66\u003c\/p\u003e \u003cp\u003e3.4.1 Economic Implication of Linear Programming Duality 66\u003c\/p\u003e \u003cp\u003e3.4.2 Economic Implication of Duality in Nonlinear Programming 68\u003c\/p\u003e \u003cp\u003e3.4.3 Economic Implication of Lagrangian Relaxation Method 71\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Power System Planning 76\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Generation Planning Based on Lagrangian Relaxation Method 76\u003c\/p\u003e \u003cp\u003e4.1.1 Problem Formulation 78\u003c\/p\u003e \u003cp\u003e4.1.2 Lagrangian Relaxation for Generation Investment Decision 80\u003c\/p\u003e \u003cp\u003e4.1.3 Probabilistic Production Simulation 85\u003c\/p\u003e \u003cp\u003e4.1.4 Example 87\u003c\/p\u003e \u003cp\u003e4.1.5 Summary 91\u003c\/p\u003e \u003cp\u003e4.2 Transmission Planning Based on Improved Genetic Algorithm 91\u003c\/p\u003e \u003cp\u003e4.2.1 Mathematical Model 93\u003c\/p\u003e \u003cp\u003e4.2.2 Improvements of Genetic Algorithm 95\u003c\/p\u003e \u003cp\u003e4.2.3 Example 96\u003c\/p\u003e \u003cp\u003e4.2.4 Summary 101\u003c\/p\u003e \u003cp\u003e4.3 Transmission Planning Based on Ordinal Optimization 103\u003c\/p\u003e \u003cp\u003e4.3.1 Introduction 103\u003c\/p\u003e \u003cp\u003e4.3.2 Transmission Expansion Planning Problem 104\u003c\/p\u003e \u003cp\u003e4.3.3 Ordinal Optimization 107\u003c\/p\u003e \u003cp\u003e4.3.4 Crude Model for Transmission Planning Problem 111\u003c\/p\u003e \u003cp\u003e4.3.5 Example 112\u003c\/p\u003e \u003cp\u003e4.3.6 Summary 120\u003c\/p\u003e \u003cp\u003e4.4 Integrated Planning of Distribution Systems Based on Hybrid Intelligent Algorithm 121\u003c\/p\u003e \u003cp\u003e4.4.1 Mathematical Model of Integrated Planning Based on DG and DSR 122\u003c\/p\u003e \u003cp\u003e4.4.2 Hybrid Intelligent Algorithm 124\u003c\/p\u003e \u003cp\u003e4.4.3 Example 125\u003c\/p\u003e \u003cp\u003e4.4.4 Summary 129\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Power System Operation 131\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Unit Commitment Based on Cooperative Coevolutionary Algorithm 131\u003c\/p\u003e \u003cp\u003e5.1.1 Problem Formulation 132\u003c\/p\u003e \u003cp\u003e5.1.2 Cooperative Coevolutionary Algorithm 133\u003c\/p\u003e \u003cp\u003e5.1.3 Form Primal Feasible Solution Based on the Dual Results 138\u003c\/p\u003e \u003cp\u003e5.1.4 Dynamic Economic Dispatch 140\u003c\/p\u003e \u003cp\u003e5.1.5 Example 146\u003c\/p\u003e \u003cp\u003e5.1.6 Summary 148\u003c\/p\u003e \u003cp\u003e5.2 Security-Constrained Unit Commitment with Wind Power Integration Based on Mixed Integer Programming 149\u003c\/p\u003e \u003cp\u003e5.2.1 Suitable SCUC Model for MIP 151\u003c\/p\u003e \u003cp\u003e5.2.2 Selection of St and the Significance of Extreme Scenarios 154\u003c\/p\u003e \u003cp\u003e5.2.3 Example 156\u003c\/p\u003e \u003cp\u003e5.2.4 Summary 160\u003c\/p\u003e \u003cp\u003e5.3 Optimal Power Flow with Discrete Variables Based on Hybrid Intelligent Algorithm 160\u003c\/p\u003e \u003cp\u003e5.3.1 Formulation of OPF Problem 162\u003c\/p\u003e \u003cp\u003e5.3.2 Modern Interior Point Algorithm (MIP) 163\u003c\/p\u003e \u003cp\u003e5.3.3 Genetic Algorithm with Annealing Selection (AGA) 167\u003c\/p\u003e \u003cp\u003e5.3.4 Flow of Presented Algorithm 169\u003c\/p\u003e \u003cp\u003e5.3.5 Example 169\u003c\/p\u003e \u003cp\u003e5.3.6 Summary 172\u003c\/p\u003e \u003cp\u003e5.4 Optimal Power Flow with Discrete Variables Based on Interior Point Cutting Plane Method 173\u003c\/p\u003e \u003cp\u003e5.4.1 IPCPM and Its Analysis 175\u003c\/p\u003e \u003cp\u003e5.4.2 Improvement of IPCPM 180\u003c\/p\u003e \u003cp\u003e5.4.3 Example 185\u003c\/p\u003e \u003cp\u003e5.4.4 Summary 187\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Power System Reactive Power Optimization 189\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Space Decoupling for Reactive Power Optimization 189\u003c\/p\u003e \u003cp\u003e6.1.1 Multi-agent System-based Volt\/VAR Control 190\u003c\/p\u003e \u003cp\u003e6.1.2 Coordination Optimization Method 193\u003c\/p\u003e \u003cp\u003e6.2 Time Decoupling for Reactive Power Optimization 198\u003c\/p\u003e \u003cp\u003e6.2.1 Cost Model of Adjusting the Control Devices of Volt\/VAR Control 202\u003c\/p\u003e \u003cp\u003e6.2.2 Time-Decoupling Model for Reactive Power Optimization Based upon Cost of Adjusting the Control Devices 207\u003c\/p\u003e \u003cp\u003e6.3 Game Theory Model of Multi-agent Volt\/VAR Control 215\u003c\/p\u003e \u003cp\u003e6.3.1 Game Mechanism of Volt\/VAR Control During Multi-level Power Dispatch 217\u003c\/p\u003e \u003cp\u003e6.3.2 Payoff Function Modeling of Multi-agent Volt\/VAR Control 224\u003c\/p\u003e \u003cp\u003e6.4 Volt\/VAR Control in Distribution Systems Using an Approach Based on Time Interval 231\u003c\/p\u003e \u003cp\u003e6.4.1 Problem Formulation 233\u003c\/p\u003e \u003cp\u003e6.4.2 Load Level Division 234\u003c\/p\u003e \u003cp\u003e6.4.3 Optimal Dispatch of OLTC and Capacitors Using Genetic Algorithm 236\u003c\/p\u003e \u003cp\u003e6.4.4 Example 238\u003c\/p\u003e \u003cp\u003e6.4.5 Summary 244\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Modeling and Analysis of Electricity Markets 247\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Oligopolistic Electricity Market Analysis Based on Coevolutionary Computation 247\u003c\/p\u003e \u003cp\u003e7.1.1 Market Model Formulation 249\u003c\/p\u003e \u003cp\u003e7.1.2 Electricity Market Analysis Based on Coevolutionary Computation 252\u003c\/p\u003e \u003cp\u003e7.1.3 Example 258\u003c\/p\u003e \u003cp\u003e7.1.4 Summary 265\u003c\/p\u003e \u003cp\u003e7.2 Supply Function Equilibrium Analysis Based on Coevolutionary Computation 265\u003c\/p\u003e \u003cp\u003e7.2.1 Market Model Formulation 267\u003c\/p\u003e \u003cp\u003e7.2.2 Coevolutionary Approach to Analyzing SFE Model 271\u003c\/p\u003e \u003cp\u003e7.2.3 Example 273\u003c\/p\u003e \u003cp\u003e7.2.4 Summary 283\u003c\/p\u003e \u003cp\u003e7.3 Searching for Electricity Market Equilibrium with Complex Constraints Using Coevolutionary Approach 284\u003c\/p\u003e \u003cp\u003e7.3.1 Market Model Formulation 286\u003c\/p\u003e \u003cp\u003e7.3.2 Coevolutionary Computation 290\u003c\/p\u003e \u003cp\u003e7.3.3 Example 292\u003c\/p\u003e \u003cp\u003e7.3.4 Summary 301\u003c\/p\u003e \u003cp\u003e7.4 Analyzing Two-Settlement Electricity Market Equilibrium by Coevolutionary Computation Approach 301\u003c\/p\u003e \u003cp\u003e7.4.1 Market Model Formulation 303\u003c\/p\u003e \u003cp\u003e7.4.2 Coevolutionary Approach to Analyzing Market Model 307\u003c\/p\u003e \u003cp\u003e7.4.3 Example 309\u003c\/p\u003e \u003cp\u003e7.4.4 Summary 318\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Future Developments 319\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 New Factors in Power System Optimization 320\u003c\/p\u003e \u003cp\u003e8.1.1 Planning and Investment Decision Under New Paradigm 320\u003c\/p\u003e \u003cp\u003e8.1.2 Scheduling\/Dispatch of Renewable Energy Sources 321\u003c\/p\u003e \u003cp\u003e8.1.3 Energy Storage Problems 322\u003c\/p\u003e \u003cp\u003e8.1.4 Environmental Impact 323\u003c\/p\u003e \u003cp\u003e8.1.5 Novel Electricity Market 323\u003c\/p\u003e \u003cp\u003e8.2 Challenges and Possible Solutions in Power System Optimization 324\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix 328\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eA.1 Header File 328\u003c\/p\u003e \u003cp\u003eA.2 Species Class 329\u003c\/p\u003e \u003cp\u003eA.3 Ecosystem Class 335\u003c\/p\u003e \u003cp\u003eA.4 Main Function 336\u003c\/p\u003e \u003cp\u003eReferences 338\u003c\/p\u003e \u003cp\u003eIndex 353\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eHaoyong Chen,\u003c\/b\u003e South China University of Technology, P. R. China \u003c\/p\u003e\u003cp\u003e\u003cb\u003eHonwing Ngan,\u003c\/b\u003e Asia-Pacific Research Institute of Smart Grid and Renewable Energy, Hong Kong \u003c\/p\u003e\u003cp\u003e\u003cb\u003eYongjun Zhang,\u003c\/b\u003e South China University of Technology, P. R. China   \u003c\/p\u003e\u003cp\u003e\u003cb\u003ePOWER SYSTEM OPTIMIZATION\u003c\/b\u003e LARGE-SCALE COMPLEX SYSTEMS APPROACHES \u003c\/p\u003e\u003cp\u003eA 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. \u003c\/p\u003e\u003cul\u003e \u003cli\u003ePresents a new and systematic viewpoint of large-scale complex systems approaches for power system optimization\u003c\/li\u003e \u003cli\u003eProvides timely and important insights that can be used for smart grids\u003c\/li\u003e \u003cli\u003eCovers a range of topics and applications from different disciplines like systems engineering, systems operations and optimization, and microeconomics\u003c\/li\u003e \u003c\/ul\u003e  \u003cp\u003eWritten by a pioneer of large-scale complex systems approaches, \u003ci\u003ePower System Optimization: Large-scale Complex Systems Approaches\u003c\/i\u003e is a timely reference for power system planners and operators, as well as advanced students of power engineering.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989827174629,"sku":"NP9781118724743","price":167.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781118724743.jpg?v=1761785595","url":"https:\/\/k12savings.com\/es\/products\/power-system-optimization-isbn-9781118724743","provider":"K12savings","version":"1.0","type":"link"}