Mobile Power Infrastructure Planning and Operational Management for Smart City Applications

Nand K. Meena, Sonam Parashar, Anil Swarnkar, Nikhil Gupta, K. R. Niazi, R. C. Bansal*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

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.

Original languageEnglish
Pages (from-to)2202-2207
Number of pages6
JournalEnergy Procedia
Volume142
DOIs
Publication statusPublished - 1 Dec 2017
Event9th International Conference on Applied Energy, ICAE 2017 - Cardiff, United Kingdom
Duration: 21 Aug 201724 Aug 2017

Bibliographical note

Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

Keywords

  • Artificial intelligence
  • distributed resources
  • electric vehicle
  • internet of things
  • smart city

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