385
Views
2
CrossRef citations to date
0
Altmetric
Research Article

Feasibility assessment of utilizing electric vehicles for energy arbitrage in smart grids considering battery degradation cost

ORCID Icon & ORCID Icon
Pages 4664-4678 | Received 21 Feb 2022, Accepted 10 May 2022, Published online: 26 May 2022
 

ABSTRACT

A smart grid environment can enable the participation of electric vehicle (EV) owners in energy arbitrage, provided that the utility employs a dynamic tariff structure and the EV chargers support the vehicle-to-grid (V2G) mode of operation. The EV owners can trade electricity with the utility profitably by exporting the energy stored in their vehicle batteries during the high-priced periods and compensating for the sold energy during the cheaper intervals. However, the additional charge-discharge cycles involved in this venture lead to faster degradation of EV batteries. This paper analyzes the economics behind the arbitrage business in terms of the returns from energy transactions and the cost of battery deterioration, and compares it with a scenario in which the EV users stay away from the V2G market. In addition to the financial analysis, it is also important to monitor the impact on the distribution network in terms of operational parameters such as peak demand, energy loss and voltage fluctuations. The study presented in this paper assesses the feasibility of engaging EVs in electricity arbitrage from the perspective of the owners’ economic welfare as well as the grid’s technical specifications. Results indicate that although the battery degradation cost increases due to energy trading, the revenue generated is substantial enough to give a net saving of 5% for the vehicle owners. With respect to grid impact, all the monitored parameters remain within the prescribed limits, and the peak demand reduces by nearly 15%.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.