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Hierarchical control on EV charging stations with ancillary service functions for PV hosting capacity maximization in unbalanced distribution networks

  • Xiangyu Li
  • , Christine Yip
  • , Zhao Yang Dong*
  • , Cuo Zhang
  • , Bo Wang
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

60 Downloads (CityUHK Scholars)

Abstract

PV hosting capacity of a practical three-phase unbalanced distribution network is expected to increase, thus increasing safe PV penetration and speeding up the decarbonization of power systems. However, power unbalances and bus voltage violations are two major obstacles limiting further increases in the PV hosting capacity. With the popularization of electric vehicles (EVs), EV charging stations (EVCSs) as controllable loads can effectively provide grid ancillary services, which helps enhance the PV hosting capacity. In this regard, this paper proposes a hierarchical control method for EVCSs in an unbalanced network, consisting of central day-ahead scheduling and local real-time dynamic control. It is novel that the local control capability of EVCSs is reserved in the central scheduling. A three-phase day-ahead EV charging scheduling optimization model is developed to reduce the power unbalance and the bus voltage violation, and in turn, improve the PV hosting capacity. Moreover, active power transfer and voltage droop control are developed as two ancillary service functions for local real-time control responding to dynamic network operating conditions. Numerical simulations verify the effectiveness of the proposed method in enhancing PV hosting capacity and providing grid ancillary services.

© 2024 The Authors. Published by Elsevier Ltd.
Original languageEnglish
Article number110097
JournalInternational Journal of Electrical Power and Energy Systems
Volume160
Online published27 Jun 2024
DOIs
Publication statusPublished - Sept 2024

Funding

This work was supported in part by an Australian Government Research Training Program (RTP) Scholarship, in part by a Green Tech Fund (GTF202020192) of The Hong Kong SAR Government, in part by a StartUp grant of CityU and the STEM Professorship, and in part by Australian Research Council under Grant DE240100059.

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

Research Keywords

  • Ancillary services
  • Charging station
  • Electric vehicle
  • Hierarchical control
  • Hosting capacity
  • Photovoltaic
  • Unbalanced distribution network

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/

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