A Distributed Coordination Approach for the Charge and Discharge of Electric Vehicles in Unbalanced Distribution Grids

Nanduni Nimalsiri, Elizabeth Ratnam, David Smith, Chathurika Mediwaththe, Saman Halgamuge

Research output: Contribution to journalArticleResearchpeer-review

4 Citations (Scopus)

Abstract

Distributed-optimization-based approaches for electric vehicle (EV) charging coordination are becoming increasingly important to enable a massive-scale EV rollout without driving costly distribution network reinforcement. This article proposes an algorithm called Dis-Net-EVCD for distributedly coordinated, network-aware EV charging and discharging in unbalanced distribution grids, incorporating both EV customer economics (least cost charging) and distribution network awareness. The alternating direction method of multipliers underpins the development of Dis-Net-EVCD, wherein we seek to remove the need for central coordinating agents and allow EVs to iteratively determine their charge-discharge profiles locally via peer-to-peer communication. Numerical simulations carried out on the IEEE 13-node test feeder with 600 residential EVs demonstrate that EV customers implementing Dis-Net-EVCD yield a total operational cost reduction of 78% compared to uncoordinated EV charging, while conforming with the voltage regulatory requirements and fulfilling all of the EV charging demands ahead of their expected departure times. Moreover, Dis-Net-EVCD is shown to be approximately 60 times computationally faster than its centralized counterpart.

Original languageEnglish
Pages (from-to)3551-3562
Number of pages12
JournalIEEE Transactions on Industrial Informatics
Volume20
Issue number3
DOIs
Publication statusPublished - Mar 2024
Externally publishedYes

Keywords

  • Distributed optimization
  • electric vehicles (EVs)
  • unbalanced grids
  • vehicle to grid (V2G)
  • voltage regulation

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