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artificial optimization in power system optimization
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BY: Weerakorn Ongsakul & Dieu Ngoc Vo 1. Introduction 1 1.1 Importance of Power System Optimization 1 1.2 Artifi cial Intelligence as a New Trend in Optimization 3 Problems 1.3 Artifi cial Intelligence Applications in Power Systems 6 1.4 Overview of the Book 7 1.5 References 9 2. Economic Dispatch 11 2.1 Introduction 11 2.2 Generator Incremental Cost Curve 12 2.3 Economic Dispatch Problem Formulation without 13 Regarding Loss 2.4 Economic Dispatch Considering Transmission Losses 20 2.5 Economic Dispatch with Ramp Rate Constraint 29 2.6 Fuel Constrained Economic Dispatch 31 2.7 Economic Dispatch Considering Emissions 42 2.8 Economic Dispatch with Transmission Constraint 49 2.9 Economic Dispatch with Non-smooth Cost Functions 59 2.10 Combined Heat and Power Economic Dispatch 77 2.11 Hydrothermal Economic Dispatch 86 2.12 Optimal Power Dispatch in a Competitive Electricity 96 Supply Industry 2.13 Summary 105 2.14 Problems for Exercise 106 2.15 References 113 3. Unit Commitment 118 3.1 Introduction 118 3.2 Unit Commitment Problem Formulation 127 3.3 Unit Commitment Solution Methods 130 3.4 Constrained Unit Commitment 191 3.5 Security Constrained Unit Commitment 210 3.6 Price-based Unit Commitment 219 3.7 Summary 227 3.8 Problems 227 3.9 References 230 4. Hydrothermal Scheduling 232 4.1 Introduction 232 4.2 Hydroelectric Plant Model 233 4.3 Hydrothermal Scheduling Formulation 233 4.4 Hydrothermal Scheduling Methods 235 4.5 Hydroelectric Units in Series 244 4.6 Pumped Storage Hydroelectric Plants 245 4.7 Problem Formulation for Hydrothermal Scheduling for Both 246 Hydroelectric and Pumped Storage Hydroelectric Plants 4.8 Solution Methods for Hydrothermal Scheduling Including 249 Pumped Storage Hydroelectric Plants 4.9 Summary 288 4.10 Problems 289 4.11 References 290 5. Optimal Power Flow 292 5.1 Introduction 292 5.2 Optimal Power Flow Problem Formulation 293 5.3 Optimal Real Power Dispatch with Network Limit Constraints 295 5.4 Neural Network Application to Optimal Power Flow 304 5.5 Particle Swarm Optimization for Optimal Power Flow 307 5.6 Summary 312 5.7 Problems 312 5.8 References 314 6. Optimal Reactive Power Dispatch 317 6.1 Introduction 317 6.2 Reactive Power in Power Systems 318 6.3 Conventional Optimal Reactive Power Dispatch 333 6.4 Optimal Reactive Power Dispatch in Deregulated Electricity 339 Markets 6.5 TVAC-PSO based Optimal Reactive Power Dispatch under 348 Deregulated Electricity Market Conditions 6.6 Summary 352 6.7 Problems 352 6.8 References 353 7. Available Transfer Capability 355 7.1 Introduction 355 7.2 Transmission Transfer Capability Concepts 356 7.3 Available Transfer Capability Principles 359 7.4 Available Transfer Capability Defi nition and Determination 360 7.5 Methodologies to Calculate ATC 367 7.6 Available Transfer Capability Calculation 370 7.7 Calculation of Total Transfer Capability by Evolutionary 376 Programming 7.8 Total Transfer Capability Enhancement by Hybrid Evolutionary 384 Algorithm 7.9 Optimal Placement of Multi-type Facts Devices for ATC 393 Enhancement Using HEA 7.10 Summary 405 7.11 Problems 406 7.12 References 408 Appendix A: Mathematical Model Derivations 415 Appendix B: Data of Example Systems 440 Appendix C: Results of Examples 448 Appendix D: Tips for Programming in Matlab 470 Index 493 Color Plate Section 497 |
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2014-06-14 02:15:49, 4.85 M
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