DOI:10.1109/TSG.2015.2496796 - Corpus ID: 715959
Optimal Behavior of Electric Vehicle Parking Lots as Demand Response Aggregation Agents
@article{Shafiekhah2016OptimalBO,
title={Optimal Behavior of Electric Vehicle Parking Lots as Demand Response Aggregation Agents},
author={Miadreza Shafie‐khah and Ehsan Heydarian‐Forushani and Gerardo J. Os{\'o}rio and Fabio A. S. Gil and Jamshid Aghaei and Mostafa Barani and Jo{\~a}o P. S. Catal{\~a}o},
journal={IEEE Transactions on Smart Grid},
year={2016},
volume={7},
pages={2654-2665},
url={https://api.semanticscholar.org/CorpusID:715959}
}- M. Shafie‐khah, E. Heydarian‐Forushani, J. Catalão
- Published in IEEE Transactions on Smart… 17 July 2016
- Engineering, Environmental Science, Economics
A model is developed to derive optimal strategies of parking lots, as responsive demands, in both price-based and incentive-based demand response programs (DRPs), and indicates that the PEV parking lots can benefit from the selective participation in DRPs.
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This is the first EV charging scheduling study in the literature that takes into account a realistic vehicular mobility pattern focusing on individual parking lots, and compares the performance of the proposed system with well-known basic scheduling mechanisms.
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Plug-in electric vehicles in the future will possibly emerge widely in city areas. Fleets of such vehicles in large numbers could be regarded as considerable stochastic loads in view of the…
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A new approach to analyzing the economic impacts of vehicle-to-grid (V2G) regulation reserves is established by simulating the restrictions arising from unpredictable mobility requests by vehicle users and it is shown that negative secondary control is economically the most beneficial for electric vehicles.
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