Coordination of multiple electric vehicle aggregators for peak shaving and valley filling in distribution feeders

  • Saad Ullah Khan
  • , Khawaja Khalid Mehmood
  • , Zunaib Maqsood Haider
  • , Muhammad Kashif Rafique
  • , Muhammad Omer Khan
  • , Chul Hwan Kim

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, a coordination method of multiple electric vehicle (EV) aggregators has been devised to flatten the system load profile. The proposed scheme tends to reduce the peak demand by discharging EVs and fills the valley gap through EV charging in the off-peak period. Upper level fair proportional power distribution to the EV aggregators is exercised by the system operator which provides coordination among the aggregators based on their aggregated energy demand or capacity. The lower level min max objective function is implemented at each aggregator to distribute power to the EVs. Each aggregator ensures that the EV customers’ driving requirements are not relinquished in spite of their employment to support the grid. The scheme has been tested on IEEE 13-node distribution system and an actual distribution system situated in Seoul, Republic of Korea whilst utilizing actual EV mobility data. The results show that the system load profile is smoothed by the coordination of aggregators under peak shaving and valley filling goals. Also, the EVs are fully charged before departure while maintaining a minimum energy for emergency travel.

Original languageEnglish
Article number352
JournalEnergies
Volume14
Issue number2
DOIs
StatePublished - 2 Jan 2021
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Active distribution networks
  • Electric vehicles
  • Peak shaving
  • Smart grid
  • Valley filling
  • Vehicle-to-grid (V2G)

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