Two-objective Approach for Electrical Vehicles Parking lot Participation in Joint Energy, and Ancillary Services Markets
Nikpour, Ahmad; Nateghi, Abolfazl; Shafie-Khah, Miadreza (2023-07-19)
Katso/ Avaa
Tiedosto avautuu julkiseksi: : 19.07.2025
Nikpour, Ahmad
Nateghi, Abolfazl
Shafie-Khah, Miadreza
IEEE
19.07.2023
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2024031511530
https://urn.fi/URN:NBN:fi-fe2024031511530
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©2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
©2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Tiivistelmä
In response to having a green transport sector and increasing sustainable energy alternatives, it is expected that electric vehicles (EVs) will be a considerable energy consumer in the near future. In order to cover the problems related to their charging demand, the integration approaches between the EVs and the grid should be optimized. Electric vehicle parking lots (EVPLs) are an exceptional solution for managing the charging process of EVs. Moreover, vehicle-to-grid (V2G) feature has the potential of increasing the reliability of the power system, the profit of EVPLs (by providing ancillary services (AS)), and reducing the cost of EVs owners. In this paper, an incentive-based two-objective approach is suggested for optimizing the profit of EVPLs and EV owners (each vehicle individually) by participating in day-ahead (DA) electricity and AS markets at the same time. Probability distribution functions (PDF) and random data are used to cover uncertainties. The suggested method is tested using the real word data by GAMS solvers.
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