Page 13 - Decision Making Applications in Modern Power Systems

Contents xiii

15.6.2 Performance results of demand-side management
scheme with insufficient photovoltaic power 406
15.7 Conclusion 408
References 409
Further reading 410

16. Multistage and decentralized operations of
electric vehicles within the California demand
response markets 411
Bin Wang, Rongxin Yin, Doug Black and Cy Chan
16.1 Introduction 411
16.2 System overview 414
16.2.1 Smart electric vehicle charging control system 414
16.2.2 Communication information exchange 416
16.3 Deterministic problem formulation 417
16.3.1 Tariff and demand response markets 418
16.3.2 Aggregation of electric vehicles 419
16.3.3 Time-of-use tariff structure 420
16.3.4 Integration with peak-day pricing plan 421
16.3.5 Integration with ancillary service market 422
16.3.6 Integration with PDR market 423
16.4 Cost-saving performance in different markets 425
16.4.1 Ancillary service market participation 425
16.4.2 PDR market participation 427
16.4.3 Demand-based bid program participation 428
16.4.4 Peak-day pricing participation 429
16.4.5 Impact of the flexibility and market participation
threshold 430
16.5 Distributed optimization with asynchronous ADMM
and V2G capabilities 432
16.6 Conclusion 437
References 438
Further reading 439

17. Pattern-recognition methods for decision-making in
protection of transmission lines 441
Mohammad Pazoki, Anamika Yadav and Almoataz Y. Abdelaziz
17.1 Introduction 441
17.2 Pattern recognition 442
17.2.1 Feature extraction 444
17.2.2 Feature selection 447
17.2.3 Decision-making 449
17.3 Pattern recognition application on protection of transmission
line 451
17.3.1 Fault detection, classification, and location 451
17.3.2 High-impedance fault detection 454