Electric vehicles as distributed energy storage for local energy management

Ricardo Morales, Jesús Fraile-Ardanuy, Álvaro Gutiérrez, David Jiménez, Benito Artaloytia, Roberto Álvaro-Hermana, Julia Merino, Sandra Castanõ-Solis

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)

Abstract

Even though the Li-ion battery price has dropped significantly in recent years, this storage technology is still quite expensive and, in order to avoid overspending, this study proposes using EV’s batteries as Battery Energy Storage System. One of the main disadvantages of this scheme is that the total available battery’s capacity is variable, but it is dependent on the EV’s mobility. In this chapter, an optimization model is developed to minimize the electricity cost purchased from the utility grid by the building manager. This optimization model takes into account several parameters: the availability of the EVs parked at the parking lot (that affects the available storage capacity, which varies at each time period, as EVs come and go along the day), the total energy consumption demanded by the building, the self -PV generation and, finally, the retail energy prices. With this information, the optimization algorithm determines how the EV batteries’ charge/ discharge of all parked vehicles should be managed to minimize the cost of electricity purchased from the grid.

Original languageEnglish
Title of host publicationICT for Electric Vehicle Integration with the Smart Grid
PublisherInstitution of Engineering and Technology
Pages237-264
Number of pages28
ISBN (Electronic)9781785617621
DOIs
Publication statusPublished - 1 Jan 2020

Keywords

  • Available storage capacity
  • Battery energy storage system
  • Battery powered vehicles
  • Battery storage plants
  • Distributed energy storage
  • Electric vehicles
  • Electricity cost minimization
  • Electricity purchase cost
  • Energy management systems
  • EV batteries
  • Local energy management
  • Optimisation
  • Optimization model
  • Power grids
  • Power markets
  • Retail energy prices
  • Self-PV generation
  • Total energy consumption

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