Analysis of EV Charging Coordination Efficiency in Presence of Cheating Customers

Charging coordination is employed to efficiently serve electric vehicle (EV) charging requests without overloading the distribution network. Parameters such as parking duration, battery state-of-charge (SoC), and charging amount are provided by EVs to the charging coordination center to schedule the...

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Autores principales:	Cihat Kececi, Muhammad Ismail, Erchin Serpedin
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Electric vehicle charging electric vehicles energy management optimization scheduling smart grids Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/16240bbd4a164c5a8ed5cdf708472f08
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spelling	oai:doaj.org-article:16240bbd4a164c5a8ed5cdf708472f082021-11-24T00:03:11ZAnalysis of EV Charging Coordination Efficiency in Presence of Cheating Customers2169-353610.1109/ACCESS.2021.3128399https://doaj.org/article/16240bbd4a164c5a8ed5cdf708472f082021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9615221/https://doaj.org/toc/2169-3536Charging coordination is employed to efficiently serve electric vehicle (EV) charging requests without overloading the distribution network. Parameters such as parking duration, battery state-of-charge (SoC), and charging amount are provided by EVs to the charging coordination center to schedule their charging requests efficiently. The existing literature assumes that the customers always provide correct information. Unfortunately, customers may provide false information to gain higher charging priority. Assessing the impact of cheating behavior represents a significant and open problem. Herein paper, the impact of providing false information (e.g., parking duration) on the efficiency of the charging coordination mechanism is investigated. The charging coordination strategy is formulated as a linear optimization problem. Two different objectives are used to assess the impact of the objective function on the amount of performance degradation. Our investigations reveal that the degradation of the efficiency of the charging coordination mechanism depends on the percentage of cheating customers and cheating duration versus the typical parking duration. In addition, the impact of cheating behavior increases with the number of deployed chargers. Thus, the severity of the cheating impact will increase in the future as more fast chargers are allocated in charging networks.Cihat KececiMuhammad IsmailErchin SerpedinIEEEarticleElectric vehicle chargingelectric vehiclesenergy managementoptimizationschedulingsmart gridsElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 153666-153677 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Electric vehicle charging electric vehicles energy management optimization scheduling smart grids Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Electric vehicle charging electric vehicles energy management optimization scheduling smart grids Electrical engineering. Electronics. Nuclear engineering TK1-9971 Cihat Kececi Muhammad Ismail Erchin Serpedin Analysis of EV Charging Coordination Efficiency in Presence of Cheating Customers
description	Charging coordination is employed to efficiently serve electric vehicle (EV) charging requests without overloading the distribution network. Parameters such as parking duration, battery state-of-charge (SoC), and charging amount are provided by EVs to the charging coordination center to schedule their charging requests efficiently. The existing literature assumes that the customers always provide correct information. Unfortunately, customers may provide false information to gain higher charging priority. Assessing the impact of cheating behavior represents a significant and open problem. Herein paper, the impact of providing false information (e.g., parking duration) on the efficiency of the charging coordination mechanism is investigated. The charging coordination strategy is formulated as a linear optimization problem. Two different objectives are used to assess the impact of the objective function on the amount of performance degradation. Our investigations reveal that the degradation of the efficiency of the charging coordination mechanism depends on the percentage of cheating customers and cheating duration versus the typical parking duration. In addition, the impact of cheating behavior increases with the number of deployed chargers. Thus, the severity of the cheating impact will increase in the future as more fast chargers are allocated in charging networks.
format	article
author	Cihat Kececi Muhammad Ismail Erchin Serpedin
author_facet	Cihat Kececi Muhammad Ismail Erchin Serpedin
author_sort	Cihat Kececi
title	Analysis of EV Charging Coordination Efficiency in Presence of Cheating Customers
title_short	Analysis of EV Charging Coordination Efficiency in Presence of Cheating Customers
title_full	Analysis of EV Charging Coordination Efficiency in Presence of Cheating Customers
title_fullStr	Analysis of EV Charging Coordination Efficiency in Presence of Cheating Customers
title_full_unstemmed	Analysis of EV Charging Coordination Efficiency in Presence of Cheating Customers
title_sort	analysis of ev charging coordination efficiency in presence of cheating customers
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/16240bbd4a164c5a8ed5cdf708472f08
work_keys_str_mv	AT cihatkececi analysisofevchargingcoordinationefficiencyinpresenceofcheatingcustomers AT muhammadismail analysisofevchargingcoordinationefficiencyinpresenceofcheatingcustomers AT erchinserpedin analysisofevchargingcoordinationefficiencyinpresenceofcheatingcustomers
_version_	1718416079002271744

Analysis of EV Charging Coordination Efficiency in Presence of Cheating Customers

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