Optimal Network Reconfiguration and Scheduling With Hardware-in-the-Loop Validation for Improved Microgrid Resilience
With the increased occurrence of various major extreme weather events, power outages and prompt power system restorations have recently drawn more attention to the resilience and recovery of power systems. From the perspective of a more resilient power delivery at the distribution grid, system resto...
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2025-01-01
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| author | Yang Chen Mohammed Olama Maximiliano F. Ferrari Guodong Liu Qingxin Shi Aditya Sundararajan Byungkwon Park Arturo A. Massol-Deya Thomas B. Ollis |
| author_facet | Yang Chen Mohammed Olama Maximiliano F. Ferrari Guodong Liu Qingxin Shi Aditya Sundararajan Byungkwon Park Arturo A. Massol-Deya Thomas B. Ollis |
| author_sort | Yang Chen |
| collection | DOAJ |
| description | With the increased occurrence of various major extreme weather events, power outages and prompt power system restorations have recently drawn more attention to the 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 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. Finally, to test the proposed restoration strategy in a larger networked system, the modified IEEE-33 bus test distribution system is considered, and the results show a more resilient power delivery for critical loads under three and four line outages. |
| format | Article |
| id | doaj-art-3bfa366ac16f4db2b77e3d68faefa11c |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-3bfa366ac16f4db2b77e3d68faefa11c2025-01-15T00:02:27ZengIEEEIEEE Access2169-35362025-01-01138042805910.1109/ACCESS.2025.352732910833641Optimal Network Reconfiguration and Scheduling With Hardware-in-the-Loop Validation for Improved Microgrid ResilienceYang Chen0Mohammed Olama1https://orcid.org/0000-0002-3890-2064Maximiliano F. Ferrari2https://orcid.org/0000-0002-5884-7664Guodong Liu3https://orcid.org/0000-0002-1349-8608Qingxin Shi4https://orcid.org/0000-0002-0178-3903Aditya Sundararajan5https://orcid.org/0000-0003-3577-8544Byungkwon Park6https://orcid.org/0000-0003-3189-816XArturo A. Massol-Deya7Thomas B. Ollis8https://orcid.org/0000-0001-9016-4268Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, USAComputational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, USAElectrification and Energy Infrastructures Division, Oak Ridge National Laboratory, Oak Ridge, TN, USAElectrification and Energy Infrastructures Division, Oak Ridge National Laboratory, Oak Ridge, TN, USASchool of Electrical and Electronic Engineering, North China Electric Power University, Beijing, ChinaElectrification and Energy Infrastructures Division, Oak Ridge National Laboratory, Oak Ridge, TN, USADepartment of Electrical Engineering, Soongsil University, Seoul, South KoreaDepartment of Biology, University of Puerto Rico at Mayagüez, Mayagüez, PR, USAElectrification and Energy Infrastructures Division, Oak Ridge National Laboratory, Oak Ridge, TN, USAWith the increased occurrence of various major extreme weather events, power outages and prompt power system restorations have recently drawn more attention to the 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 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. Finally, to test the proposed restoration strategy in a larger networked system, the modified IEEE-33 bus test distribution system is considered, and the results show a more resilient power delivery for critical loads under three and four line outages.https://ieeexplore.ieee.org/document/10833641/Power grid resiliencesystem restoration strategynetworked microgridnetwork topology reconfigurationoptimal asset schedulinghardware-in-the-loop testing |
| spellingShingle | Yang Chen Mohammed Olama Maximiliano F. Ferrari Guodong Liu Qingxin Shi Aditya Sundararajan Byungkwon Park Arturo A. Massol-Deya Thomas B. Ollis Optimal Network Reconfiguration and Scheduling With Hardware-in-the-Loop Validation for Improved Microgrid Resilience IEEE Access Power grid resilience system restoration strategy networked microgrid network topology reconfiguration optimal asset scheduling hardware-in-the-loop testing |
| title | Optimal Network Reconfiguration and Scheduling With Hardware-in-the-Loop Validation for Improved Microgrid Resilience |
| title_full | Optimal Network Reconfiguration and Scheduling With Hardware-in-the-Loop Validation for Improved Microgrid Resilience |
| title_fullStr | Optimal Network Reconfiguration and Scheduling With Hardware-in-the-Loop Validation for Improved Microgrid Resilience |
| title_full_unstemmed | Optimal Network Reconfiguration and Scheduling With Hardware-in-the-Loop Validation for Improved Microgrid Resilience |
| title_short | Optimal Network Reconfiguration and Scheduling With Hardware-in-the-Loop Validation for Improved Microgrid Resilience |
| title_sort | optimal network reconfiguration and scheduling with hardware in the loop validation for improved microgrid resilience |
| topic | Power grid resilience system restoration strategy networked microgrid network topology reconfiguration optimal asset scheduling hardware-in-the-loop testing |
| url | https://ieeexplore.ieee.org/document/10833641/ |
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