Mobile Power Infrastructure Planning and Operational Management for Smart City Applications

Abstract

The paper presents new strategies and algorithms for future mobile power infrastructure planning and operational management in smart cities. The efforts have been made to develop a resilient Electric Vehicle (EV) infrastructure for smart city applications. The goal of this work is to maximize the profit of utility and EV owners participating in real-time smart city energy market subjected to numerous techno-economic constraints of the EVs and power distribution system. For effective real-time applications, the knowledge of artificial intelligence and internet of things (IoT) are used in the proposed model. In order to validate the proposed model for smart city applications, IEEE 33-bus radial distribution network is adopted as a small city power network. The simulation results of proposed model are found to be encouraging when it is compared with the case in which conventional strategies are used.

Publication DOI: https://doi.org/10.1016/j.egypro.2017.12.589
Divisions: College of Engineering & Physical Sciences > School of Informatics and Digital Engineering > Electrical and Electronic Engineering
College of Engineering & Physical Sciences
Additional Information: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Uncontrolled Keywords: Artificial intelligence,distributed resources,electric vehicle,internet of things,smart city,Energy(all)
Publication ISSN: 1876-6102
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Conference article
Published Date: 2017-12-01
Accepted Date: 2017-08-01
Authors: Meena, Nand K. (ORCID Profile 0000-0002-4092-3921)
Parashar, Sonam
Swarnkar, Anil
Gupta, Nikhil
Niazi, K. R.
Bansal, R. C.

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