Negenborn / Lukszo / Hellendoorn Intelligent Infrastructures

1. Auflage 2009
ISBN: 978-90-481-3598-1
Verlag: Springer Netherlands
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 42, 529 Seiten

Reihe: Intelligent Systems, Control and Automation: Science and Engineering

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.

Autoren/Hrsg.

Lukszo, Z.

Hellendoorn, H.

Negenborn, Rudy R.

Lukszo, Zofia

Hellendoorn, Hans

Inhaltsverzeichnis

1;Foreword;6
2;Foreword;8
3;Table of Contents;10
4;Preface;16
5;List of Contributors;18
6;Introduction;23
6.1;Z. Lukszo and M.P.C. Weijnen;23
7;Part I Generic Infrastructures;32
7.1;1 Intelligence in Transportation Infrastructures via Model-Based Predictive Control;33
7.1.1;R.R. Negenborn and H. Hellendoorn;33
7.1.1.1;1.1 Transportation infrastructures;34
7.1.1.2;1.2 Towards intelligent transportation infrastructures;37
7.1.1.3;1.3 Model predictive control;43
7.1.1.4;1.4 MPC for intelligent infrastructures;49
7.1.1.5;1.5 Conclusions and future research;51
7.1.1.6;References;52
7.2;2 Model Factory for Socio-Technical Infrastructure Systems;55
7.2.1;K.H. van Dam and Z. Lukszo;55
7.2.1.1;2.1 Introduction;56
7.2.1.2;2.2 Model factory for socio-technical systems;57
7.2.1.3;2.3 Illustrative case studies;66
7.2.1.4;2.4 Decision support using the model factory;73
7.2.1.5;2.5 Conclusions and future research;79
7.2.1.6;References;80
8;Part II Electricity Infrastructures;83
8.1;3 Prevention of Emergency Voltage Collapses in Electric Power Networks using Hybrid Predictive Control;84
8.1.1;S. Leirens and R.R. Negenborn;84
8.1.1.1;3.1 Introduction;85
8.1.1.2;3.2 Power network operation;89
8.1.1.3;3.3 Hybrid dynamical models of power networks;93
8.1.1.4;3.4 Model predictive control;102
8.1.1.5;3.5 Simulation studies;108
8.1.1.6;3.6 Conclusions and future research;113
8.1.1.7;References;115
8.2;4 Module-Based Modeling and Stabilization of Electricity Infrastructure;118
8.2.1;L. Xie and M.D. Ilic;118
8.2.1.1;4.1 Introduction;119
8.2.1.2;4.2 Literature review;120
8.2.1.3;4.3 Our approach;121
8.2.1.4;4.4 Numerical examples;131
8.2.1.5;4.5 Conclusions and future research;133
8.2.1.6;References;136
8.3;5 Price-based Control of Electrical Power Systems;138
8.3.1;A. Jokic, M. Lazar, and P.P.J. van den Bosch;138
8.3.1.1;5.1 Introduction;139
8.3.1.2;5.2 Optimization decomposition: Price-based control;143
8.3.1.3;5.3 Preserving the structure: Distributed price-based control;147
8.3.1.4;5.4 Conclusions and future research;157
8.3.1.5;References;159
8.4;6 Survivability and Reciprocal Altruism: Two Strategies for Intelligent Infrastructure with Applications to Power Grids;161
8.4.1;P. Hines;161
8.4.1.1;6.1 Introduction;162
8.4.1.2;6.2 Stress, blackouts, and complexity;166
8.4.1.3;6.3 Survivability;169
8.4.1.4;6.4 Adaptive reciprocal altruism;172
8.4.1.5;6.5 Conclusions and future research;176
8.4.1.6;References;177
8.5;7 Multi-agent Coordination for Market Environments;179
8.5.1;R. Duan and G. Deconinck;179
8.5.1.1;7.1 Introduction;180
8.5.1.2;7.2 Emerging model of the next generation electricity infrastructure;183
8.5.1.3;7.3 Electricity market structure and mechanism;187
8.5.1.4;7.4 A promising multi-agent system framework for coordination;191
8.5.1.5;7.5 Preliminary results;202
8.5.1.6;7.6 Related work;203
8.5.1.7;7.7 Conclusions and future research;204
8.5.1.8;References;205
8.6;8 Intelligence in Electricity Networks for Embedding Renewables and Distributed Generation;206
8.6.1;J.K. Kok, M.J.J. Scheepers, and I.G. Kamphuis;206
8.6.1.1;8.1 Introduction;207
8.6.1.2;8.2 On the special nature of electricity and its infrastructure;208
8.6.1.3;8.3 Electricity networks and electricity markets;210
8.6.1.4;8.4 Changing nature of electricity generation;215
8.6.1.5;8.5 Intelligent distributed coordination in electricity;221
8.6.1.6;8.6 Field test results;229
8.6.1.7;8.7 Conclusions and future research;233
8.6.1.8;References;235
8.7;9 Social and Cyber Factors Interacting over the Infrastructures: A MAS Framework for Security Analysis;237
8.7.1;E. Bompard, R. Napoli, and F. Xue;237
8.7.1.1;9.1 Introduction;238
8.7.1.2;9.2 A general framework for security analysis;239
8.7.1.3;9.3 Multi-agent model for the analysis of coordination and control;246
8.7.1.4;9.4 Analysis of information impact;254
8.7.1.5;9.5 Conclusions and future research;258
8.7.1.6;References;258
8.8;10 Distributed Predictive Control for Energy Hub Coordination in Coupled Electricity and Gas Networks;261
8.8.1;M. Arnold, R.R. Negenborn, G. Andersson, and B. De Schutter;261
8.8.1.1;10.1 Introduction;262
8.8.1.2;10.2 Energy hub concept;266
8.8.1.3;10.3 Modeling multi-carrier systems;268
8.8.1.4;10.4 Centralized model predictive control;278
8.8.1.5;10.5 Distributed model predictive control;280
8.8.1.6;10.6 Simulation results;287
8.8.1.7;10.7 Conclusions and future research;297
8.8.1.8;References;298
8.9;11 Model-based Control of Intelligent Traffic Networks;301
8.9.1;B. De Schutter, H. Hellendoorn, A. Hegyi, M. van den Berg, and S.K. Zegeye;301
8.9.1.1;11.1 Introduction;302
8.9.1.2;11.2 Traffic models;305
8.9.1.3;11.3 Model-based predictive traffic control;318
8.9.1.4;11.4 Case studies;323
8.9.1.5;11.5 Conclusions and future research;329
8.9.1.6;References;331
9;Part III Road Traffic Infrastructures;300
9.1;12 Intelligent Road Network Control;335
9.1.1;J.L.M. Vrancken and M. dos Santos Soares;335
9.1.1.1;12.1 Introduction;336
9.1.1.2;12.2 Research questions;338
9.1.1.3;12.3 Approach;338
9.1.1.4;12.4 Related work;339
9.1.1.5;12.5 TCA: The architecture for road traffic control;340
9.1.1.6;12.6 The DTCA architecture;341
9.1.1.7;12.7 Experimental implementation;343
9.1.1.8;12.8 Future challenges;346
9.1.1.9;12.9 Conclusions and future research;347
9.1.1.10;References;348
9.2;13 An Integrated Dynamic Road Network Design Approach with Stochastic Networks;350
9.2.1;H. Li, M.C.J. Bliemer, and P.H.L. Bovy;350
9.2.1.1;13.1 Introduction;351
9.2.1.2;13.2 Modeling travelers' departure time/route choice behavior;352
9.2.1.3;13.3 Reliability-based dynamic network design;354
9.2.1.4;13.4 Solution approach;357
9.2.1.5;13.5 Case study;361
9.2.1.6;13.6 Conclusions and future research;367
9.2.1.7;References;368
9.3;14 Dealing with Uncertainty in Operational Transport Planning;371
9.3.1;J. Zutt, A. van Gemund, M. de Weerdt, and C. Witteveen;371
9.3.1.1;14.1 Introduction;372
9.3.1.2;14.2 A framework for distributed operational transport planning;374
9.3.1.3;14.3 Operational transport planning methods;376
9.3.1.4;14.4 Dealing with uncertainty;384
9.3.1.5;14.5 Experimental evaluation;387
9.3.1.6;14.6 Conclusions and future research;395
9.3.1.7;References;396
9.4;15 Railway Dynamic Traffic Management in Complex and Densely Used Networks;398
9.4.1;F. Corman, A. D'Ariano, D. Pacciarelli, and M. Pranzo;398
9.4.1.1;15.1 Introduction;399
9.4.1.2;15.2 Problem description ;401
9.4.1.3;15.3 Dynamic traffic management strategies;406
9.4.1.4;15.4 Decision support system ;408
9.4.1.5;15.5 Computational experiments;416
9.4.1.6;15.6 Conclusions and future research;423
9.4.1.7;References;423
10;Part IV Water Infrastructures;426
10.1;16 Flood Regulation by Means of Model Predictive Control;427
10.1.1;T. Barjas Blanco, P. Willems, P-K. Chiang, K. Cauwenberghs, B. De Moor, and J. Berlamont;427
10.1.1.1;16.1 Introduction;428
10.1.1.2;16.2 Hydrodynamic water system modeling;429
10.1.1.3;16.3 Flood regulation;440
10.1.1.4;16.4 Experimental results;451
10.1.1.5;16.5 Conclusions and future research;455
10.1.1.6;References;456
10.2;17 Predictive Control for National Water Flow Optimization in The Netherlands;458
10.2.1;P.J. van Overloop, R.R. Negenborn, B. De Schutter, and N.C. van de Giesen;458
10.2.1.1;17.1 Introduction;459
10.2.1.2;17.2 Modeling and MPC control of open water systems;463
10.2.1.3;17.3 MPC for the North Sea Canal and Amsterdam-Rhine Canal;469
10.2.1.4;17.4 Distributed MPC for control of the Dutch water system;472
10.2.1.5;17.5 Conclusions and future research;479
10.2.1.6;References;479
10.3;18 Decentralized Model Predictive Control for a Cascade of River Power Plants;481
10.3.1;A. Sahin and M. Morari;481
10.3.1.1;18.1 Introduction;482
10.3.1.2;18.2 Modeling;484
10.3.1.3;18.3 Controller design;489
10.3.1.4;18.4 Simulation results;496
10.3.1.5;18.5 Conclusions and future research;502
10.3.1.6;References;502
10.4;19 Enhancing the Reliability and Security of Urban Water Infrastructures through Intelligent Monitoring, Assessment, and Optimization;504
10.4.1;W. Wu and J. Gao;504
10.4.1.1;19.1 Introduction;505
10.4.1.2;19.2 Water distribution system;506
10.4.1.3;19.3 Monitoring and modeling in water distribution systems;511
10.4.1.4;19.4 Intelligent assessment in water distribution systems;518
10.4.1.5;19.5 Multi-objective optimal pump scheduling;523
10.4.1.6;19.6 Water distribution system rehabilitation;529
10.4.1.7;19.7 Conclusions and future research;531
10.4.1.8;References;532
10.5;20 Long-term Sustainable Use of Water in Infrastructure Design;534
10.5.1;R. van der Brugge and J. van Eijndhoven;534
10.5.1.1;20.1 Introduction;535
10.5.1.2;20.2 Conceptual framework;536
10.5.1.3;20.3 Water as a central element in the history of The Netherlands;539
10.5.1.4;20.4 Rotterdam, a water-related history;540
10.5.1.5;20.5 Conclusions and future research;544
10.5.1.6;References;545