Intelligent Infrastructures (eBook)

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2009 | 2010
XXI, 529 Seiten
Springer Netherland (Verlag)
978-90-481-3598-1 (ISBN)

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Society heavily depends on infrastructure systems, such as road-traffic networks, water networks, electricity networks, etc. Infrastructure systems are hereby considered to be large-scale, networked systems, that almost everybody uses on a daily basis, and that are so vital that their incapacity or destruction would have a debilitating impact on the defense or economic security and functioning of society. The operation and control of existing infrastructures such as road-traffic networks, water networks, electricity networks, etc. are failing: too often we are confronted with capacity problems, unsafety, unreliability and inefficiency. This book concentrates on a wide range of problems concerning the way infrastructures are functioning today and discuss novel advanced, intelligent, methods and tools for the operation and control of existing and future infrastructures.


Society heavily depends on infrastructure systems, such as road-traffic networks, water networks, electricity networks, etc. Infrastructure systems are hereby considered to be large-scale, networked systems, that almost everybody uses on a daily basis, and that are so vital that their incapacity or destruction would have a debilitating impact on the defense or economic security and functioning of society. The operation and control of existing infrastructures such as road-traffic networks, water networks, electricity networks, etc. are failing: too often we are confronted with capacity problems, unsafety, unreliability and inefficiency. This book concentrates on a wide range of problems concerning the way infrastructures are functioning today and discuss novel advanced, intelligent, methods and tools for the operation and control of existing and future infrastructures.

Foreword 6
Foreword 8
Table of Contents 10
Preface 16
List of Contributors 18
Introduction 23
Z. Lukszo and M.P.C. Weijnen 23
Part I Generic Infrastructures 32
1 Intelligence in Transportation Infrastructures via Model-Based Predictive Control 33
R.R. Negenborn and H. Hellendoorn 33
1.1 Transportation infrastructures 34
1.2 Towards intelligent transportation infrastructures 37
1.3 Model predictive control 43
1.4 MPC for intelligent infrastructures 49
1.5 Conclusions and future research 51
References 52
2 Model Factory for Socio-Technical Infrastructure Systems 55
K.H. van Dam and Z. Lukszo 55
2.1 Introduction 56
2.2 Model factory for socio-technical systems 57
2.3 Illustrative case studies 66
2.4 Decision support using the model factory 73
2.5 Conclusions and future research 79
References 80
Part II Electricity Infrastructures 83
3 Prevention of Emergency Voltage Collapses in Electric Power Networks using Hybrid Predictive Control 84
S. Leirens and R.R. Negenborn 84
3.1 Introduction 85
3.2 Power network operation 89
3.3 Hybrid dynamical models of power networks 93
3.4 Model predictive control 102
3.5 Simulation studies 108
3.6 Conclusions and future research 113
References 115
4 Module-Based Modeling and Stabilization of Electricity Infrastructure 118
L. Xie and M.D. Ilic 118
4.1 Introduction 119
4.2 Literature review 120
4.3 Our approach 121
4.4 Numerical examples 131
4.5 Conclusions and future research 133
References 136
5 Price-based Control of Electrical Power Systems 138
A. Jokic, M. Lazar, and P.P.J. van den Bosch 138
5.1 Introduction 139
5.2 Optimization decomposition: Price-based control 143
5.3 Preserving the structure: Distributed price-based control 147
5.4 Conclusions and future research 157
References 159
6 Survivability and Reciprocal Altruism: Two Strategies for Intelligent Infrastructure with Applications to Power Grids 161
P. Hines 161
6.1 Introduction 162
6.2 Stress, blackouts, and complexity 166
6.3 Survivability 169
6.4 Adaptive reciprocal altruism 172
6.5 Conclusions and future research 176
References 177
7 Multi-agent Coordination for Market Environments 179
R. Duan and G. Deconinck 179
7.1 Introduction 180
7.2 Emerging model of the next generation electricity infrastructure 183
7.3 Electricity market structure and mechanism 187
7.4 A promising multi-agent system framework for coordination 191
7.5 Preliminary results 202
7.6 Related work 203
7.7 Conclusions and future research 204
References 205
8 Intelligence in Electricity Networks for Embedding Renewables and Distributed Generation 206
J.K. Kok, M.J.J. Scheepers, and I.G. Kamphuis 206
8.1 Introduction 207
8.2 On the special nature of electricity and its infrastructure 208
8.3 Electricity networks and electricity markets 210
8.4 Changing nature of electricity generation 215
8.5 Intelligent distributed coordination in electricity 221
8.6 Field test results 229
8.7 Conclusions and future research 233
References 235
9 Social and Cyber Factors Interacting over the Infrastructures: A MAS Framework for Security Analysis 237
E. Bompard, R. Napoli, and F. Xue 237
9.1 Introduction 238
9.2 A general framework for security analysis 239
9.3 Multi-agent model for the analysis of coordination and control 246
9.4 Analysis of information impact 254
9.5 Conclusions and future research 258
References 258
10 Distributed Predictive Control for Energy Hub Coordination in Coupled Electricity and Gas Networks 261
M. Arnold, R.R. Negenborn, G. Andersson, and B. De Schutter 261
10.1 Introduction 262
10.2 Energy hub concept 266
10.3 Modeling multi-carrier systems 268
10.4 Centralized model predictive control 278
10.5 Distributed model predictive control 280
10.6 Simulation results 287
10.7 Conclusions and future research 297
References 298
11 Model-based Control of Intelligent Traffic Networks 301
B. De Schutter, H. Hellendoorn, A. Hegyi, M. van den Berg, and S.K. Zegeye 301
11.1 Introduction 302
11.2 Traffic models 305
11.3 Model-based predictive traffic control 318
11.4 Case studies 323
11.5 Conclusions and future research 329
References 331
Part III Road Traffic Infrastructures 300
12 Intelligent Road Network Control 335
J.L.M. Vrancken and M. dos Santos Soares 335
12.1 Introduction 336
12.2 Research questions 338
12.3 Approach 338
12.4 Related work 339
12.5 TCA: The architecture for road traffic control 340
12.6 The DTCA architecture 341
12.7 Experimental implementation 343
12.8 Future challenges 346
12.9 Conclusions and future research 347
References 348
13 An Integrated Dynamic Road Network Design Approach with Stochastic Networks 350
H. Li, M.C.J. Bliemer, and P.H.L. Bovy 350
13.1 Introduction 351
13.2 Modeling travelers' departure time/route choice behavior 352
13.3 Reliability-based dynamic network design 354
13.4 Solution approach 357
13.5 Case study 361
13.6 Conclusions and future research 367
References 368
14 Dealing with Uncertainty in Operational Transport Planning 371
J. Zutt, A. van Gemund, M. de Weerdt, and C. Witteveen 371
14.1 Introduction 372
14.2 A framework for distributed operational transport planning 374
14.3 Operational transport planning methods 376
14.4 Dealing with uncertainty 384
14.5 Experimental evaluation 387
14.6 Conclusions and future research 395
References 396
15 Railway Dynamic Traffic Management in Complex and Densely Used Networks 398
F. Corman, A. D'Ariano, D. Pacciarelli, and M. Pranzo 398
15.1 Introduction 399
15.2 Problem description 401
15.3 Dynamic traffic management strategies 406
15.4 Decision support system 408
15.5 Computational experiments 416
15.6 Conclusions and future research 423
References 423
Part IV Water Infrastructures 426
16 Flood Regulation by Means of Model Predictive Control 427
T. Barjas Blanco, P. Willems, P-K. Chiang, K. Cauwenberghs, B. De Moor, and J. Berlamont 427
16.1 Introduction 428
16.2 Hydrodynamic water system modeling 429
16.3 Flood regulation 440
16.4 Experimental results 451
16.5 Conclusions and future research 455
References 456
17 Predictive Control for National Water Flow Optimization in The Netherlands 458
P.J. van Overloop, R.R. Negenborn, B. De Schutter, and N.C. van de Giesen 458
17.1 Introduction 459
17.2 Modeling and MPC control of open water systems 463
17.3 MPC for the North Sea Canal and Amsterdam-Rhine Canal 469
17.4 Distributed MPC for control of the Dutch water system 472
17.5 Conclusions and future research 479
References 479
18 Decentralized Model Predictive Control for a Cascade of River Power Plants 481
A. Sahin and M. Morari 481
18.1 Introduction 482
18.2 Modeling 484
18.3 Controller design 489
18.4 Simulation results 496
18.5 Conclusions and future research 502
References 502
19 Enhancing the Reliability and Security of Urban Water Infrastructures through Intelligent Monitoring, Assessment, and Optimization 504
W. Wu and J. Gao 504
19.1 Introduction 505
19.2 Water distribution system 506
19.3 Monitoring and modeling in water distribution systems 511
19.4 Intelligent assessment in water distribution systems 518
19.5 Multi-objective optimal pump scheduling 523
19.6 Water distribution system rehabilitation 529
19.7 Conclusions and future research 531
References 532
20 Long-term Sustainable Use of Water in Infrastructure Design 534
R. van der Brugge and J. van Eijndhoven 534
20.1 Introduction 535
20.2 Conceptual framework 536
20.3 Water as a central element in the history of The Netherlands 539
20.4 Rotterdam, a water-related history 540
20.5 Conclusions and future research 544
References 545

Erscheint lt. Verlag 28.11.2009
Reihe/Serie Intelligent Systems, Control and Automation: Science and Engineering
Intelligent Systems, Control and Automation: Science and Engineering
Zusatzinfo XXI, 529 p.
Verlagsort Dordrecht
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Mathematik / Informatik Informatik Web / Internet
Naturwissenschaften
Technik
Wirtschaft Allgemeines / Lexika
Wirtschaft Betriebswirtschaft / Management Planung / Organisation
Wirtschaft Betriebswirtschaft / Management Unternehmensführung / Management
Wirtschaft Betriebswirtschaft / Management Wirtschaftsinformatik
Schlagworte Calculus • Infrastructure Systems • Intelligent Control • Model • Modeling • Model Predictive Control • multi-agent system • Multi-agent Systems • Networks • Optimization • Simulation • System
ISBN-10 90-481-3598-2 / 9048135982
ISBN-13 978-90-481-3598-1 / 9789048135981
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