| Title |
Mobile Power Infrastructure Planning and Operational Management for Smart City Applications |
| ID_Doc |
45734 |
| Authors |
Meena, NK; Parashar, S; Swarnkar, A; Gupta, N; Niazi, KR; Bansal, RC |
| Title |
Mobile Power Infrastructure Planning and Operational Management for Smart City Applications |
| Year |
2017 |
| Published |
|
| DOI |
10.1016/j.egypro.2017.12.589 |
| 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. (C) 2017 The Authors. Published by Elsevier Ltd. Peer-review under responsibility of the scientific committee of the 9th International Conference on Applied Energy. |
| Author Keywords |
Artificial intelligence; distributed resources; electric vehicle; internet of things; smart city |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000452901602055 |
| WoS Category |
Energy & Fuels |
| Research Area |
Energy & Fuels |
| PDF |
https://doi.org/10.1016/j.egypro.2017.12.589
|