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Impact of Dynamic Operating Envelopes on Distribution Network Hosting Capacity for Electric Vehicles

Hossein Fani, Md Umar Hashmi, Emilio J. Palacios-Garcia, Geert Deconinck

TL;DR

This work addresses the challenge of expanding EV hosting capacity in active distribution networks by incorporating dynamic operating envelopes (DOEs) through a network-aware HC framework (EV-NAHC). The method uses real-world EV charging trajectories and voltage-based DOEs to bound DOE-enabled charging, with QoS defined as an energy-based metric and aggregated across all customers, enabling HC to be limited by aggregate QoS rather than network incidents alone. Numerical results on a 19-node Belgian feeder show substantial EV-HC gains under low, medium, and high daily charging energy scenarios (e.g., 37.5%, 66.7%, 33.3%), but reveal QoS trade-offs that disproportionately affect distant customers; this highlights a fairness concern and the need to balance hosting capacity with equitable QoS. The work demonstrates the practical potential of DOEs to enhance EV integration while signaling future work on reducing locational disparities and improving DOE parameterization for fair, scalable deployment.

Abstract

The examination of the maximum number of electric vehicles (EVs) that can be integrated into the distribution network (DN) without causing any operational incidents has become increasingly crucial as EV penetration rises. This issue can be addressed by utilizing dynamic operating envelopes (DOEs), which are generated based on the grid status. While DOEs improve the hosting capacity of the DN for EVs (EV-HC) by restricting the operational parameters of the network, they also alter the amount of energy needed for charging each EV, resulting in a decrease in the quality of service (QoS). This study proposes a network-aware hosting capacity framework for EVs (EV-NAHC) that i) aims to assess the effects of DOEs on active distribution networks, ii) introduces a novel definition for HC and calculates the EV-NAHC based on the aggregated QoS of all customers. A small-scale Belgian feeder is utilized to examine the proposed framework. The results show a substantial increase in the EV-NAHC with low, medium, and high-daily charging energy scenarios.

Impact of Dynamic Operating Envelopes on Distribution Network Hosting Capacity for Electric Vehicles

TL;DR

This work addresses the challenge of expanding EV hosting capacity in active distribution networks by incorporating dynamic operating envelopes (DOEs) through a network-aware HC framework (EV-NAHC). The method uses real-world EV charging trajectories and voltage-based DOEs to bound DOE-enabled charging, with QoS defined as an energy-based metric and aggregated across all customers, enabling HC to be limited by aggregate QoS rather than network incidents alone. Numerical results on a 19-node Belgian feeder show substantial EV-HC gains under low, medium, and high daily charging energy scenarios (e.g., 37.5%, 66.7%, 33.3%), but reveal QoS trade-offs that disproportionately affect distant customers; this highlights a fairness concern and the need to balance hosting capacity with equitable QoS. The work demonstrates the practical potential of DOEs to enhance EV integration while signaling future work on reducing locational disparities and improving DOE parameterization for fair, scalable deployment.

Abstract

The examination of the maximum number of electric vehicles (EVs) that can be integrated into the distribution network (DN) without causing any operational incidents has become increasingly crucial as EV penetration rises. This issue can be addressed by utilizing dynamic operating envelopes (DOEs), which are generated based on the grid status. While DOEs improve the hosting capacity of the DN for EVs (EV-HC) by restricting the operational parameters of the network, they also alter the amount of energy needed for charging each EV, resulting in a decrease in the quality of service (QoS). This study proposes a network-aware hosting capacity framework for EVs (EV-NAHC) that i) aims to assess the effects of DOEs on active distribution networks, ii) introduces a novel definition for HC and calculates the EV-NAHC based on the aggregated QoS of all customers. A small-scale Belgian feeder is utilized to examine the proposed framework. The results show a substantial increase in the EV-NAHC with low, medium, and high-daily charging energy scenarios.
Paper Structure (11 sections, 5 equations, 8 figures, 1 table)

This paper contains 11 sections, 5 equations, 8 figures, 1 table.

Table of Contents

  1. Introduction
  2. Proposed network-aware HC framework
  3. EV charging trajectory data
  4. Generation of DOE
  5. DOE-based EV HC
  6. Numerical results
  7. Network description (Belgian small-scale feeder)
  8. Case study 1: Fixing DOEs parameters ($\Delta_{\text{perm}}$ and $factor$)
  9. Case study 2: Network-aware HC results
  10. Conclusion and future work
  11. Acknowledgements

Figures (8)

  • Figure 1: Flow chart for DOE-based EV HC for DNs
  • Figure 2: Power control regions of DOE
  • Figure 3: Small-scale Belgian feeder topology
  • Figure 4: Sensitivity analysis of EV-NAHC and aggregated QoS on ($\Delta_{\text{perm}}$ and factor) for low, medium, and high-daily EV charging energy
  • Figure 5: EV-NAHC and minimum QoS Sensitivity on aggregated QoS for low, medium, and high-daily charging energy EVs
  • ...and 3 more figures