Online-Intelligent Demand Management of Plug-in Electric Vehicles in Future Smart Parking Lots

This paper proposes an online intelligent demand coordination of plug-in electric vehicles (PEVs) in distribution systems. The proposed method is based on the assignment of scores to PEVs through a fuzzy expert system. As well, without violation of grid operational constraints, the PEVs are optimall...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي: Akhavan-Rezai, Elham (author)
مؤلفون آخرون: Shaaban, Mostafa (author), El-Saadany, Ehab (author), Karray, Fakhri (author)
التنسيق: article
منشور في: 2016
الوصول للمادة أونلاين:http://hdl.handle.net/11073/16314
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author Akhavan-Rezai, Elham
author2 Shaaban, Mostafa
El-Saadany, Ehab
Karray, Fakhri
author2_role author
author
author
author_facet Akhavan-Rezai, Elham
Shaaban, Mostafa
El-Saadany, Ehab
Karray, Fakhri
author_role author
dc.creator.none.fl_str_mv Akhavan-Rezai, Elham
Shaaban, Mostafa
El-Saadany, Ehab
Karray, Fakhri
dc.date.none.fl_str_mv 2016-06
2018-11-05T08:37:07Z
2018-11-05T08:37:07Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv Akhavan-Rezai, Elham, Mostafa Shaaban, Ehab F. El-Saadany, and Fakhry Karray. "Online-Intelligent Demand Management of Plug-in Electric Vehicles in Future Smart Parking Lots." IEEE Systems Journal 10, no. 2 (2016): 483 - 494.
1937-9234
http://hdl.handle.net/11073/16314
10.1109/JSYST.2014.2349357
dc.language.none.fl_str_mv en_US
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.relation.none.fl_str_mv IEEE Systems Journal
https://doi.org/10.1109/JSYST.2014.2349357
dc.title.none.fl_str_mv Online-Intelligent Demand Management of Plug-in Electric Vehicles in Future Smart Parking Lots
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description This paper proposes an online intelligent demand coordination of plug-in electric vehicles (PEVs) in distribution systems. The proposed method is based on the assignment of scores to PEVs through a fuzzy expert system. As well, without violation of grid operational constraints, the PEVs are optimally charged in order to maximize the owners' satisfaction in terms of the energy delivered. The optimization problem of online PEV charging is defined as mixed-integer nonlinear programming. Simulation on a typical distribution network proves the effectiveness of the proposed methodology. Results of the analysis indicate that for more critical PEVs, which have shorter parking duration and higher required charging time, the proposed solution outperforms in more robust energy delivery to the PEV and, accordingly, more satisfaction for the owner.
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identifier_str_mv Akhavan-Rezai, Elham, Mostafa Shaaban, Ehab F. El-Saadany, and Fakhry Karray. "Online-Intelligent Demand Management of Plug-in Electric Vehicles in Future Smart Parking Lots." IEEE Systems Journal 10, no. 2 (2016): 483 - 494.
1937-9234
10.1109/JSYST.2014.2349357
language_invalid_str_mv en_US
network_acronym_str aus
network_name_str aus
oai_identifier_str oai:repository.aus.edu:11073/16314
publishDate 2016
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
repository.mail.fl_str_mv
repository.name.fl_str_mv
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spelling Online-Intelligent Demand Management of Plug-in Electric Vehicles in Future Smart Parking LotsAkhavan-Rezai, ElhamShaaban, MostafaEl-Saadany, EhabKarray, FakhriThis paper proposes an online intelligent demand coordination of plug-in electric vehicles (PEVs) in distribution systems. The proposed method is based on the assignment of scores to PEVs through a fuzzy expert system. As well, without violation of grid operational constraints, the PEVs are optimally charged in order to maximize the owners' satisfaction in terms of the energy delivered. The optimization problem of online PEV charging is defined as mixed-integer nonlinear programming. Simulation on a typical distribution network proves the effectiveness of the proposed methodology. Results of the analysis indicate that for more critical PEVs, which have shorter parking duration and higher required charging time, the proposed solution outperforms in more robust energy delivery to the PEV and, accordingly, more satisfaction for the owner.Institute of Electrical and Electronics Engineers2018-11-05T08:37:07Z2018-11-05T08:37:07Z2016-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfAkhavan-Rezai, Elham, Mostafa Shaaban, Ehab F. El-Saadany, and Fakhry Karray. "Online-Intelligent Demand Management of Plug-in Electric Vehicles in Future Smart Parking Lots." IEEE Systems Journal 10, no. 2 (2016): 483 - 494.1937-9234http://hdl.handle.net/11073/1631410.1109/JSYST.2014.2349357en_USIEEE Systems Journalhttps://doi.org/10.1109/JSYST.2014.2349357oai:repository.aus.edu:11073/163142024-08-22T12:18:00Z
spellingShingle Online-Intelligent Demand Management of Plug-in Electric Vehicles in Future Smart Parking Lots
Akhavan-Rezai, Elham
status_str publishedVersion
title Online-Intelligent Demand Management of Plug-in Electric Vehicles in Future Smart Parking Lots
title_full Online-Intelligent Demand Management of Plug-in Electric Vehicles in Future Smart Parking Lots
title_fullStr Online-Intelligent Demand Management of Plug-in Electric Vehicles in Future Smart Parking Lots
title_full_unstemmed Online-Intelligent Demand Management of Plug-in Electric Vehicles in Future Smart Parking Lots
title_short Online-Intelligent Demand Management of Plug-in Electric Vehicles in Future Smart Parking Lots
title_sort Online-Intelligent Demand Management of Plug-in Electric Vehicles in Future Smart Parking Lots
url http://hdl.handle.net/11073/16314