Page 10 - Decision Making Applications in Modern Power Systems

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10.2.2 PV curve 249
10.2.3 QV curve 250
10.3 Active power losses 251
10.4 Identification of candidate buses for renewable
generation allocation 251
10.4.1 RES allocation by voltage stability criteria 252
10.4.2 RES allocation by loss sensitivity criteria 252
10.5 Identification of generators for reactive power
dispatch using particle swarm optimization 252
10.6 Particle swarm optimization for reactive
power dispatch 253
10.7 Methodology for particle swarm optimization
application to reactive power dispatch considering
tangent-vector-based generation selection 255
10.8 Results and analysis 255
10.9 Conclusion 265
Acknowledgments 266
References 266

11. Decision-making-based optimal
generation-side secondary-reserve scheduling
and optimal LFC in deregulated interconnected
power system 269
Hassan Haes Alhelou and M.E.H. Golshan
Nomenclatures and abbreviations 269
11.1 Introduction 270
11.2 Power system operation and decision-making 272
11.2.1 Real-time operation 274
11.2.2 Decision-making-based planning and economic
operation 276
11.2.3 Operation and planning problems to be addressed 277
11.3 Decision-making application to reserve scheduling 279
11.3.1 Problem setup and reserve representation 281
11.4 Probabilistic security-constrained reserve scheduling 283
11.4.1 Deterministic constraints 283
11.4.2 Probabilistic constraints 284
11.5 Decision-making-based optimal automatic generation
control in deregulated environment 285
11.5.1 An overview of the fractional calculus 285
11.5.2 Load-frequency control and automatic
generation control based on fractional calculus 286
11.5.3 Optimal tuning of the controller parameter 289
11.6 Case study 290
11.6.1 The studied deregulated power system 290
11.6.2 Simulation results and discussions 291
11.7 Conclusion 297
References 297