Society depends on infrastructure systems such as water and electricity networks. This book probes numerous problems regarding the way infrastructures work today as well as intelligent methods and tools for the operation of current 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.
The book shows in a coherent way several kinds of intelligence for infrastructures
It is demonstrated how infrastructures can be made more intelligent
Novel, state-of-the-art methods and tools for the operation and control of infrastructures are proposed
Different points-of-view on how to use intelligence for modeling and control of infrastructure systems are brought together
Analogies between different infrastructures are drawnKlappentext
Modern societies heavily depend on infrastructure systems such as road-traffic networks, water networks, and electricity networks. Nowadays infrastructure systems are large-scale, complex networked, socio-technical systems, that almost everybody uses on a daily basis, and that have enabled us to live closely together in large cities. Infrastructure systems are so vital that their incapacity or destruction would have a fatal effect on the functioning of our society. The complexity of these systems is defined by their multi-agent and multi-actor character, their multi-level structure, their multi-objective optimization challenges, and by the adaptivity of their agents and actors to changes in their environment. The operation and control of existing infrastructures is fallible: too often people are confronted with capacity problems, dangerous situations, unreliability, and inefficiency.
More intelligent infrastructures gain an advantage in terms of more efficient capacity management, improved reliability of service, increased sustainability, and enhanced infrastructure security. Infrastructure operation should be able to more autonomously determine how to operate the infrastructure, taking into account the most up-to-date state of the infrastructure, and taking into account the existence of several decision makers, such that ultimately the infrastructure is operated in a pro-active way and issues are resolved quickly.
This book concentrates on a wide range of problems in the way infrastructures are functioning today and discusses novel advanced, and intelligent methods and tools for the operation and control of existing and future infrastructures. Inhalt
Preface; List of Contributors; Introduction; Part I Generic Infrastructures: 1 Intelligence in Transportation Infrastructures via Model-Based Predictive Control, by R.R. Negenborn and H. Hellendoorn: 1.1 Transportation infrastructures; 1.2 Towards intelligent transportation infrastructures; 1.3 Model predictive control; 1.4 MPC for intelligent infrastructures ; 1.5 Conclusions and future research; References; 2 Model Factory for Socio-Technical Infrastructure Systems, by K.H. van Dam and Z. Lukszo: 2.1 Introduction; 2.2 Model factory for socio-technical systems; 2.3 Illustrative case studies; 2.4 Decision support using the model factory; 2.5 Conclusions and future research; References; Part II Electricity Infrastructures; 3 Prevention of Emergency Voltage Collapses in Electric Power Networks using Hybrid Predictive Control, by S. Leirens and R.R. Negenborn: 3.1 Introduction; 3.2 Power network operation; 3.3 Hybrid dynamical models of power networks; 3.4 Model predictive control; 3.5 Simulation studies; 3.6 Conclusions and future research; References; 4 Module-Based Modeling and Stabilization of Electricity Infrastructure, by L. Xie and M.D. Ilic: 4.1 Introduction; 4.2 Literature review; 4.3 Our approach; 4.4 Numerical examples; 4.5 Conclusions and future research; References; 5 Price-based Control of Electrical Power Systems, by A. Jokic, M. Lazar, and P.P.J. van den Bosch: 5.1 Introduction; 5.2 Optimization decomposition: Price-based contro; 5.3 Preserving the structure: Distributed price-based contro; 5.4 Conclusions and future research; References; 6 Survivability and Reciprocal Altruism: Two Strategies for Intelligent Infrastructure with Applications to Power Grids, by P. Hines: 6.1 Introductio; 6.2 Stress, blackouts, and complexit; 6.3 Survivability; 6.4 Adaptive reciprocal altruism; 6.5 Conclusions and future research; References; 7 Multi-agent Coordination for Market Environments, by R. Duan and G. Deconin: 7.1 Introductio; 7.2 Emerging model of the next generation electricity infrastructure; 7.3 Electricity market structure and mechanis; 7.4 A promising multi-agent system framework for coordination 7.5 Preliminary result; 7.6 Related work; 7.7 Conclusions and future research; References; 8 Intelligence in Electricity Networks for Embedding Renewables and Distributed Generation, by J.K. Kok, M.J.J. Scheepers, and I.G. Kamphuis: 8.1 Introduction; 8.2 On the special nature of electricity and its infrastructur; 8.3 Electricity networks and electricity market; 8.4 Changing nature of electricity generatio; 8.5 Intelligent distributed coordination in electricit; 8.6 Field test results; 8.7 Conclusions and future research; References; 9 Social and Cyber Factors Interacting over the Infrastructures: A MAS Framework for Security Analysis, by E. Bompard, R. Napoli, and F. Xue: 9.1 Introduction; 9.2 A general framework for security analysis; 9.3 Multi-agent model for the analysis of coordination and control; 9.4 Analysis of information impact; 9.5 Conclusions and future research; References; 10 Distributed Predictive Control for Energy Hub Coordination in Coupled Electricity and Gas Networks, by M. Arnold, R.R. Negenborn, G. Andersson, and B. De Schutter: 10.1 Introduction; 10.2 Energy hub concept; 10.3 Modeling multi-carrier systems; 10.4 Centralized model predictive control; 10.5 Distributed model predictive control; 10.6 Simulation results; 10.7 Conclusions and future research; References; Part III Road Traffic Infrastructures; 11 Model-based Control of Intelligent Traffic Networks, by B. De Schutter, H. Hellendoorn, A. Hegyi, M. van den Berg, and S.K. Zegey: 11.1 Introduction; 11.2 Traffic model; 11.3 Model-based predictive traffic control; 11.4 Case studies; 11.5 Conclusions and future research; References; 12 Intelligent Road Network Control, by J.L.M. Vrancken and M. dos Santos Soares: 12.1 Introduction; 12.2 Research questions; 12.3 Approach; 12.4 Related work; 12.5 TCA: The architecture for road traffic control; 12.6 T