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Resilience-Oriented Restoration in Modern Power Distribution Networks With Smart Electric Vehicles Coordination Framework
  • Abdullah Ali M. Alghamdi,
  • Dilan Jayaweera
Abdullah Ali M. Alghamdi
University of Birmingham College of Engineering and Physical Sciences

Corresponding Author:[email protected]

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Dilan Jayaweera
University of Birmingham College of Engineering and Physical Sciences
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Abstract

In the era of cyber-physical-social systems, research lacks a comprehensive framework to optimize dynamic coordination strategies for electric vehicles (EVs) to enhance modern power distribution networks (MPDNs) resilience. Public studies have not comprehensively addressed the impact of intelligent transportation systems (ITS) and smart charging systems (SCS) on MPDN resilience strategies after rare events. To bridge this gap, a two-stage EVs coordination framework is proposed to consider MPDN smart restoration. The first stage involves a novel proactive EV prepositioning model to optimize EV prepositioning plans before a rare event in order to enhance MPDN survivability during the immediate aftermath of the event. The second stage involves an advanced spatial-temporal EV dispatching model to maximize the number of available EVs for discharge, thereby improving MPDN recovery after a rare event. The proposed framework includes an information system facilitating dynamic data exchange between EVs and ITS/SCS automated systems and introduces a novel geographic graph to optimize EV routes between charging points. Effectiveness of the framework is assessed on a modified IEEE 123 node test feeder incorporating real-world transportation and charging infrastructure. The results suggest that significant enhancement in MPDN resilience is possible with smart restoration strategies. Sensitivity analysis specifically demonstrates that integrating recently invented technologies of the smart charging systems and automated systems potentially provides significant benefits if dynamic coordination strategies are employed in MPDNs.
25 May 2023Submitted to IET Generation, Transmission & Distribution
30 May 2023Submission Checks Completed
30 May 2023Assigned to Editor
01 Jun 2023Reviewer(s) Assigned
14 Jun 2023Review(s) Completed, Editorial Evaluation Pending
19 Jun 2023Editorial Decision: Revise Major
17 Jul 20231st Revision Received
22 Jul 2023Submission Checks Completed
22 Jul 2023Assigned to Editor
22 Jul 2023Reviewer(s) Assigned
10 Aug 2023Review(s) Completed, Editorial Evaluation Pending
11 Aug 2023Editorial Decision: Revise Minor
15 Aug 20232nd Revision Received
18 Aug 2023Submission Checks Completed
18 Aug 2023Assigned to Editor
18 Aug 2023Reviewer(s) Assigned
30 Aug 2023Review(s) Completed, Editorial Evaluation Pending
31 Aug 2023Editorial Decision: Revise Minor
11 Sep 20233rd Revision Received
13 Sep 2023Submission Checks Completed
13 Sep 2023Assigned to Editor
13 Sep 2023Review(s) Completed, Editorial Evaluation Pending
13 Sep 2023Reviewer(s) Assigned
24 Sep 2023Editorial Decision: Accept