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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9615221/ |
| _version_ | 1818931553051344896 |
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| author | Cihat Kececi Muhammad Ismail Erchin Serpedin |
| author_facet | Cihat Kececi Muhammad Ismail Erchin Serpedin |
| author_sort | Cihat Kececi |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-20T04:18:25Z |
| format | Article |
| id | doaj.art-16240bbd4a164c5a8ed5cdf708472f08 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T04:18:25Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-16240bbd4a164c5a8ed5cdf708472f082022-12-21T19:53:41ZengIEEEIEEE Access2169-35362021-01-01915366615367710.1109/ACCESS.2021.31283999615221Analysis of EV Charging Coordination Efficiency in Presence of Cheating CustomersCihat Kececi0https://orcid.org/0000-0002-2097-5855Muhammad Ismail1https://orcid.org/0000-0002-8051-9747Erchin Serpedin2https://orcid.org/0000-0001-9069-770XDepartment of Electrical and Computer Engineering, Texas A&M University at Qatar, Doha, QatarDepartment of Computer Science, Tennessee Tech University, Cookeville, TN, USADepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USACharging 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.https://ieeexplore.ieee.org/document/9615221/Electric vehicle chargingelectric vehiclesenergy managementoptimizationschedulingsmart grids |
| spellingShingle | Cihat Kececi Muhammad Ismail Erchin Serpedin Analysis of EV Charging Coordination Efficiency in Presence of Cheating Customers IEEE Access Electric vehicle charging electric vehicles energy management optimization scheduling smart grids |
| title | 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_short | Analysis of EV Charging Coordination Efficiency in Presence of Cheating Customers |
| title_sort | analysis of ev charging coordination efficiency in presence of cheating customers |
| topic | Electric vehicle charging electric vehicles energy management optimization scheduling smart grids |
| url | https://ieeexplore.ieee.org/document/9615221/ |
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