| Title | Towards Integrated Infrastructures for Smart City Services: A Story of Traffic and Energy Aware Pricing Policy for Charging Infrastructures |
|---|---|
| ID_Doc | 37407 |
| Authors | Nakarmi, U; Naeini, MR |
| Title | Towards Integrated Infrastructures for Smart City Services: A Story of Traffic and Energy Aware Pricing Policy for Charging Infrastructures |
| Year | 2017 |
| Published | |
| 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 electric 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. |
| https://doi.org/10.5220/0006303202080218 |
Similar Articles
| ID | Score | Article |
|---|---|---|
37852
|
Nakarmi, U; Rahnamay-Naeini, M An Influence-Based Model for Smart City's Interdependent Infrastructures: Application in Pricing Design for EV Charging Infrastructures(2019) | |
| 35993
|
Nie, YQ; Wang, XL; Cheng, KWE Multi-Area Self-Adaptive Pricing Control in Smart City With EV User Participation(2018)Ieee Transactions On Intelligent Transportation Systems, 19, 7 | |
| 37782
|
Canizes, B; Soares, J; Vale, Z; Corchado, JM Optimal Distribution Grid Operation Using DLMP-Based Pricing for Electric Vehicle Charging Infrastructure in a Smart City(2019)Energies, 12.0, 4 | |
| 40783
|
Lazaroiu, C; Roscia, M; Saatmandi, S Blockchain strategies and policies for sustainable electric mobility into Smart City(2020) | |
| 41376
|
Shuai, WJ; Maillé, P; Pelov, A Charging Electric Vehicles in the Smart City: A Survey of Economy-Driven Approaches(2016)Ieee Transactions On Intelligent Transportation Systems, 17, 8 | |
| 38185
|
Amini, MH; Mohammadi, J; Kar, S Distributed Holistic Framework for Smart City Infrastructures: Tale of Interdependent Electrified Transportation Network and Power Grid(2019) | |
| 42648
|
El-fedany, I; Kiouach, D; Alaoui, R A Smart Coordination System Integrates MCS to Minimize EV Trip Duration and Manage the EV Charging, Mainly at Peak Times(2021)International Journal Of Intelligent Transportation Systems Research, 19, 3 | |
| 76722
|
Wu, OQ; Yücel, S; Zhou, YF Smart Charging of Electric Vehicles: An Innovative Business Model for Utility Firms(2022)M&Som-Manufacturing & Service Operations Management, 24, 5 | |
| 39032
|
Chavhan, S; Gupta, D; Alkhayyat, A; Alharbi, M; Rodrigues, JJPC AI-Empowered Game Theoretic-Enabled Dynamic Electric Vehicles Charging Price Scheme in Smart City(2023)Ieee Systems Journal, 17, 4 | |
| 41255
|
Lom, M; Pribyl, O Modeling Charging of Electric Vehicles in Smart Cities: Charles Square Use Case(2019) |