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A Robust Optimization Approach for Resiliency improvement in Power Distribution System
  • Reza Abshirini,
  • Mojtaba Najafi,
  • Naghi Moaddabi Pirkolachahi
Reza Abshirini
Islamic Azad University Bushehr Branch

Corresponding Author:[email protected]

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Mojtaba Najafi
Islamic Azad University Bushehr Branch
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Naghi Moaddabi Pirkolachahi
Islamic Azad University Bushehr Branch
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Recently, power interruptions with high impact effects are increased by occurring natural disasters. Furthermore, the uncertain nature of data creates the considerable challenges for enhancing the resiliency of power distribution systems after occurring events. Regarding this, this paper presents a robust optimization approach for resiliency improvement in power distribution system. The robust approach uses the crew teams for switching action as restoration process, demand response programs and Mobile Generators (MGs) simultaneously for improving the resiliency with considering the uncertainty of electrical load and electrical price. The objective function is tri-level consists of minimum, maximum and minimum function. The first level is minimum function that is for minimizing cost of commitment of CHPs with considering location of MGs and reconfiguration structure in power distribution systems. The second level is maximum function that is for finding the worst-case scenario of the uncertainty variables. The third level is minimizing total operation cost in the condition with worst scenario of stochastic data by using demand response programs. The aforementioned algorithm is implemented on an IEEE 33-bus test distribution system with four different cases. Furthermore, several cases and sensitivity analysis are accomplished in order to show the efficiency of the proposed model.
08 Nov 2022Submitted to IET Generation, Transmission & Distribution
16 Nov 2022Submission Checks Completed
16 Nov 2022Assigned to Editor
14 Dec 2022Reviewer(s) Assigned
04 Mar 2023Review(s) Completed, Editorial Evaluation Pending
10 Mar 2023Editorial Decision: Revise Major
18 Jun 20231st Revision Received
27 Jun 2023Submission Checks Completed
27 Jun 2023Assigned to Editor
03 Jul 2023Reviewer(s) Assigned
24 Jul 2023Review(s) Completed, Editorial Evaluation Pending
01 Aug 2023Editorial Decision: Revise Major
15 Sep 20232nd Revision Received
18 Sep 2023Submission Checks Completed
18 Sep 2023Assigned to Editor
18 Sep 2023Review(s) Completed, Editorial Evaluation Pending
18 Sep 2023Reviewer(s) Assigned
04 Oct 2023Editorial Decision: Revise Minor
18 Oct 20233rd Revision Received
19 Oct 2023Assigned to Editor
19 Oct 2023Submission Checks Completed
19 Oct 2023Review(s) Completed, Editorial Evaluation Pending
21 Oct 2023Reviewer(s) Assigned
14 Nov 2023Editorial Decision: Accept