Coordinating Multiple Sources for Service Restoration to Enhance Resilience of Distribution Systems

Journal Article · Mon Sep 02 00:00:00 EDT 2019 · IEEE Transactions on Smart Grid

DOI:https://doi.org/10.1109/TSG.2019.2891515· OSTI ID:1710212

Wang, Ying ^[1]; Xu, Yin ^[1]; He, Jinghan ^[1]; Liu, Chen-Ching ^[2]; Schneider, Kevin P. ^[3]; Hong, Mingguo ^[4]; Ton, Dan ^[5]

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1. Beijing Jiaotong University
2. Virginia Tech
3. BATTELLE (PACIFIC NW LAB)
4. Case Western Reserve University
5. DOE

When a major outage occurs on a distribution system due to extreme events, microgrids, distributed generators, storage devices, and other local resources can be used to restore critical loads and enhance resiliency. This paper proposes a decision-making method to determine the optimal restoration strategy coordinating multiple sources to serve critical loads after a major outage. The critical load restoration problem is formulated as a mixed -integer semidefinite program. The objective is maximizing the number of loads restored, weighted by their priority. The unbalanced three-phase power flow constraint and operational constraints are considered. An iterative algorithm is proposed to deal with integer variables and can attain the global optimum of the critical load restoration problem by solving a few semidefinite programs under mild conditions. The effectiveness of the proposed models and algorithm is validated by numerical simulation with the modified IEEE 13-node test feeder and the modified IEEE123-node test feeder under a large number of scenarios. The results indicate that the optimal restoration strategy can be determined efficiently in most scenarios

• Research Organization: Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 1710212
• Report Number(s): PNNL-SA-133593
• Journal Information: IEEE Transactions on Smart Grid, Vol. 10, Issue 5
• Country of Publication: United States
• Language: English