Critical Infrastructure Systems: Distributed Decision Processes over Network and Uncertainties
Critical infrastructure systems (CISs) provide the essential services that are vital for a nation’s economy, security, and health, but the analysis of CISs are challenged due to their inherent complexity. This dissertation focuses primarily on the system analysis of critical infrastructure systems, with a particular interest to address the modeling and computational challenges brought by uncertainties, interdependencies and distributed decision making of various components and stakeholders involved in CISs, so that a secure, reliable, efficient and resilient system can be further pursued. Through two examples, the first one is on electric vehicle charging infrastructure planning in a competitive market, and the second one is on power generators planning in a restructured electricity market, the authors illustrate how their general modeling framework, network-based stochastic multi-agent optimization problems with equilibrium constraints (N-SMOPEC), can be adapted to formulate the specific problems in transportation and energy system. Each example is solved by decomposition based approach with convergence properties developed based on recent theoretical advances of variational convergence. Median size numerical experiments are implemented to study the performance of proposed method and draw practical insights. In addition, the authors have shown some knowledge from different domains, such as microeconomics, energy and transportation, can be shared to facilitate the formulation and solution process of seemingly unrelated problems of each other, which could possibly foster the communication between different fields and open up new research opportunities from both theoretical and practical perspectives.
- Record URL:
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Corporate Authors:
University of California, Davis
Institute of Transportation Studies
Davis, CA United States 95616 -
Authors:
- Guo, Zhaomiao
- Publication Date: 2016-12-31
Language
- English
Media Info
- Media Type: Digital/other
- Features: Appendices; Figures; References; Tables;
- Pagination: 148p
Subject/Index Terms
- TRT Terms: Decision making; Disaster resilience; Electric generators; Electric vehicle charging; Infrastructure; Network analysis (Planning); Optimization; Stakeholders; Uncertainty
- Subject Areas: Energy; Planning and Forecasting; Security and Emergencies; Transportation (General);
Filing Info
- Accession Number: 01766517
- Record Type: Publication
- Files: TRIS
- Created Date: Mar 8 2021 11:42AM