Cited by 69Optimal Power Flow DistributionPower System Optimization and StabilityMicrogrid Control and Optimization

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Enhancing Power Grid Resilience Through an IEC61850-Based EV-Assisted Load Restoration

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Jamborsalamati, Pouya, Hossain, M. J., Taghizadeh, Seyedfoad, Konstantinou, Georgios, Manbachi, Moein, Dehghanian, Payman·2020·IEEE Transactions on Industrial Informatics

Abstract

Contrary to reliability analysis in power systems with the main mission on safely and securely withstanding credible contingencies in day-to-day operations, resilience assessments are centered on high-impact low probability (HILP) events in the grid. This paper proposes an autonomous load restoration architecture founded on IEC 61850-8-1 GOOSE communication protocol to engender an enhanced feeder-level resilience in active power distribution grids. Different from the past research on outage management solutions, most of which 1) are not resilience-driven; 2) are reactive solutions to local single-fault events; and 3) do not address both network built-in flexibilities and flexible resources. The proposed solution harnesses 1) the imported power and flexibility from the neighboring networks; 2) distributed energy resources; and 3) vehicle to grid capacity of electric vehicles aggregations to enhance the feeder-level resourcefulness for agile response and recovery. Through real-time self-reconfiguration strategies, the suggested solution is capable of coping both single and subsequent outage events, and will engender a heightened resilience before and during the contingency period. Moreover, a resilience evaluation framework, which quantifies the contribution of all resources involved in service restoration, is developed. Real-time performance of the designed architecture is evaluated on a real-world power distribution grid using a real-time hardware-in-the-loop platform. Numerical case studies through a number of diverse scenarios demonstrate the efficacy of the proposed restoration solution in practicing an enhanced resilience in power distribution systems in response to HILP scenarios.

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Research works printed but not linked: 32

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Metadata

Authors
Jamborsalamati, P., Hossain, M. J., Taghizadeh, S., Konstantinou, G., Manbachi, M., & Dehghanian, P.
Affiliations
  • Macquarie University (AU)
  • UNSW Sydney (AU)
  • University of British Columbia (CA)
  • George Washington University (US)
Venue
IEEE Transactions on Industrial Informatics
Published
2020-03
Volume
16
Issue
3
Pages
1799-1810
ISSN
  • 1551-3203 (ISSN-L)
  • 1941-0050
OpenAlex
W2949715751
Cited by
69
References
0
Citations by year
2026: 4 · 2025: 13 · 2024: 7 · 2023: 14 · 2022: 11 · 2021: 15 · 2020: 5
FWCI
2.79
Type
journal article
Language
en
Open access
Locations
  • IEEE Transactions on Industrial Informatics (publishedVersion)
  • Griffith Research Online (submittedVersion)
  • UTS ePRESS (University of Technology Sydney) (submittedVersion)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Power System Optimization and Stability
  • Physical Sciences › Engineering › Control and Systems Engineering › Microgrid Control and Optimization
Keywords
grid resilience, load restoration, IEC 61850, electric vehicles, vehicle-to-grid, distributed energy resources, high-impact low-probability events, self-reconfiguration, service restoration, resilience evaluation framework, distribution networks, hardware-in-the-loop

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