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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2205.15737 |
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| _version_ | 1866929267377438720 |
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| author | Giraldo, Juan S. Arias, Nataly Banol Duque, Edgar Mauricio Salazar Hoogsteen, Gerwin Hurink, Johann L. |
| author_facet | Giraldo, Juan S. Arias, Nataly Banol Duque, Edgar Mauricio Salazar Hoogsteen, Gerwin Hurink, Johann L. |
| contents | Compensation mechanisms are used to counterbalance the discomfort suffered by users due to quality service issues. Such mechanisms are currently used for different purposes in the electrical power and energy sector, e.g., power quality and reliability. This paper proposes a compensation mechanism using EV flexibility management of a set of charging sessions managed by a charging point operator (CPO). Users' preferences and bilateral agreements with the CPO are modelled via discrete utility functions for the energy not served. A mathematical proof of the proposed compensation mechanism is given and applied to a test scenario using historical data from an office building with a parking lot in the Netherlands. Synthetic data for 400 charging sessions was generated using multivariate elliptical copulas to capture the complex dependency structures in EV charging data. Numerical results validate the usefulness of the proposed compensation mechanism as an attractive measure both for the CPO and the users in case of energy not served. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2205_15737 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | A Compensation Mechanism for EV Flexibility Services using Discrete Utility Functions Giraldo, Juan S. Arias, Nataly Banol Duque, Edgar Mauricio Salazar Hoogsteen, Gerwin Hurink, Johann L. Systems and Control Compensation mechanisms are used to counterbalance the discomfort suffered by users due to quality service issues. Such mechanisms are currently used for different purposes in the electrical power and energy sector, e.g., power quality and reliability. This paper proposes a compensation mechanism using EV flexibility management of a set of charging sessions managed by a charging point operator (CPO). Users' preferences and bilateral agreements with the CPO are modelled via discrete utility functions for the energy not served. A mathematical proof of the proposed compensation mechanism is given and applied to a test scenario using historical data from an office building with a parking lot in the Netherlands. Synthetic data for 400 charging sessions was generated using multivariate elliptical copulas to capture the complex dependency structures in EV charging data. Numerical results validate the usefulness of the proposed compensation mechanism as an attractive measure both for the CPO and the users in case of energy not served. |
| title | A Compensation Mechanism for EV Flexibility Services using Discrete Utility Functions |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2205.15737 |