Optimal Network Reconfiguration and Scheduling with Hardware-in-the-Loop Validation for Improved Microgrid Resilience

Yang Chen, Mohammed Olama, Maximiliano Ferrari, Guodong Liu, Qingxin Shi, Aditya Sundararajan, Byungkwon Park, Arturo Massol, Thomas B. Ollis

Research output: Contribution to journalArticlepeer-review

Abstract

With the increased occurrence of various major extreme weather events, power outages and prompt power system restorations have recently drawn more attention to resilience and recovery of power systems. From the perspective of a more resilient power delivery at the distribution grid, system restoration using network topology reconfiguration together with optimal scheduling of distributed energy resources are adopted in this paper. The proposed optimization model aims at minimizing the total load shedding cost and other operational costs, in which linearized topological constraints borrowed from graph theory and linearized DistFlow models are respectively used to maintain the radial network topology and power flow balance after system contingencies. To demonstrate the applicability of the proposed strategy, a real-world case study of a networked three-microgrid system in Adjuntas, Puerto Rico, is used with the consideration of different independent/interconnected microgrid scenarios, contingencies, and fairness settings. Furthermore, hardware-in-the-loop testing is also conducted for the same three-microgrid network, where the closely matched results with the simulated ones have validated the effectiveness of the proposed restoration strategy, which is now ready to move one step forward towards field deployment.

Original languageEnglish
JournalIEEE Access
DOIs
StateAccepted/In press - 2025

Keywords

  • Distribution System
  • Grid Resilience Enhancement
  • Grid Restoration
  • Hardware-in-the-Loop Testing
  • Network Topology Reconfiguration
  • Networked Microgrid
  • Optimal Asset Scheduling

Fingerprint

Dive into the research topics of 'Optimal Network Reconfiguration and Scheduling with Hardware-in-the-Loop Validation for Improved Microgrid Resilience'. Together they form a unique fingerprint.

Cite this