@inproceedings{430484a2beea4d4f83dc7f627e039a4f,
title = "Energy Coordination of EV for Optimal Utilization in Smart Grid based on Uncertainty Modelling",
abstract = "The paper focuses on optimal operation of a smart neighbourhood with houses comprising of Photovoltaic array (PV), Electric Vehicle (EV), flexible/ non-flexible loads and Energy Storage System (ESS). EVs are also used as a power generation source apart from PV and ESS. For this, House-to-self load (H2H), House-to-Neighbour (H2N) and House-to-Grid (H2G) modes of transmission are proposed. Markov Chain model addresses uncertainties in EV availability. In this, a transition matrix is developed based on historical travel data of consumers. The minimizing energy cost is taken as the main objective. Hybrid Ant colony-Cuckoo search (ACO-CS) algorithm is proposed to optimize the charging/discharging schedule of EV to attain this objective.",
keywords = "ACO-CS optimization, EV, H2G, H2H, H2N, Markov Chain, Smart scheduling",
author = "{Sri Lakshmi}, E. and Singh, {S. P.} and P. Sanjeevikumar and Zbigniew Leonowicz and Holm-Nielsen, {Jens Bo}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020 ; Conference date: 09-06-2020 Through 12-06-2020",
year = "2020",
month = jun,
doi = "10.1109/EEEIC/ICPSEurope49358.2020.9160735",
language = "English",
isbn = "978-1-7281-7456-3",
series = "Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020",
pages = "1--6",
editor = "Zhigniew Leonowicz",
booktitle = "Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020",
publisher = "IEEE Signal Processing Society",
address = "United States",
}