Authors:
Upama Nakarmi
and
Mahshid Rahnamay Naeini
Affiliation:
Texas Tech University, United States
Keyword(s):
Critical Infrastructures, Smart City, Integrated Framework, Probabilistic Modeling, Electric Vehicles, Charging Infrastructure, Power Grid, Pricing Mechanism, Load Distribution.
Related
Ontology
Subjects/Areas/Topics:
Energy and Economy
;
Intelligent Transport Systems and Traffic Management
;
Internet-Enabled Infrastructures and Services
;
IS Architecture Designs and Platforms for Smart Cities
;
Smart Cities
;
User-Centred and Participatory Design of Services and Systems for Smart Cities
Abstract:
Developing smart-city solutions and services, which lead to optimal utilization of cities’ limited resources and enhancement of their reliability and efficiency, requires collaboration of currently vertical and isolated city infrastructures. The interdependency among critical infrastructures makes such collaborative solutions even more essential. In this paper, two of such critical infrastructures, including the electric-vehicle (EV) charging infrastructure and the electric infrastructure, are considered and an integrated framework for modeling their interactions are developed. This model is a probabilistic model based on a networked Markov chain framework, which enables capturing of stochastic aspects of these two systems and how they affect each other. Using the developed model and a proposed algorithm, which works hand in hand with the model, charging prices are assigned for the EV charging stations with the goal of increasing the likelihood of having balanced charging and electri
c infrastructures. The role of the cyber infrastructure in such collaborative solutions are discussed through the charging and power infrastructure pricing scheme. The presented results show the importance of integrated modeling and the pricing solution, which considers the state of both systems. We hope that this study and modeling approach can be extended to other smart city solutions and other interdependent infrastructures.
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