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Title: Resiliency of Distribution Systems Incorporating Asynchronous Information for System Restoration

Abstract

Resiliency of distribution systems under extreme operating conditions is critical, especially when the utility is not available. With the large-scale deployment of distributed resources, it becomes possible to restore critical loads with local non-utility resources. Distribution system operators (DSOs) need to determine the critical loads to be restored, considering limited resources and distribution facilities. Several studies on resiliency have been conducted for the restoration of distribution systems. However, the inherent asynchronous characteristic on the information availability has not been incorporated. With incomplete and asynchronous information, decisions may be made that result in underutilization of generation resources. In this paper, a new distribution system restoration approach is proposed, considering uncertain devices and associated asynchronous information. It uses a two-module architecture that efficiently optimizes restoration actions using a binary linear programming model and evaluates their feasibility with unbalanced optimal power flow. Networked microgrids are included in the model. The IEEE 123-node test feeder is used for validation. Results show that asynchronous messages may affect the restoration actions significantly and the impacts can be mitigated by the proposed decision support tool for the DSOs.

Authors:
 [1];  [2];  [3];  [3];  [1]
  1. Virginia Tech
  2. BATTELLE (PACIFIC NW LAB)
  3. Siemens Corporation
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1547368
Report Number(s):
PNNL-SA-145594
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
IEEE Access
Additional Journal Information:
Journal Volume: 7
Country of Publication:
United States
Language:
English

Citation Formats

Bedoya, Juan C., Xie, Jing, Wang, Yubo, Zhang, Xi, and Liu, Chen-Ching. Resiliency of Distribution Systems Incorporating Asynchronous Information for System Restoration. United States: N. p., 2019. Web. doi:10.1109/ACCESS.2019.2930907.
Bedoya, Juan C., Xie, Jing, Wang, Yubo, Zhang, Xi, & Liu, Chen-Ching. Resiliency of Distribution Systems Incorporating Asynchronous Information for System Restoration. United States. doi:10.1109/ACCESS.2019.2930907.
Bedoya, Juan C., Xie, Jing, Wang, Yubo, Zhang, Xi, and Liu, Chen-Ching. Wed . "Resiliency of Distribution Systems Incorporating Asynchronous Information for System Restoration". United States. doi:10.1109/ACCESS.2019.2930907.
@article{osti_1547368,
title = {Resiliency of Distribution Systems Incorporating Asynchronous Information for System Restoration},
author = {Bedoya, Juan C. and Xie, Jing and Wang, Yubo and Zhang, Xi and Liu, Chen-Ching},
abstractNote = {Resiliency of distribution systems under extreme operating conditions is critical, especially when the utility is not available. With the large-scale deployment of distributed resources, it becomes possible to restore critical loads with local non-utility resources. Distribution system operators (DSOs) need to determine the critical loads to be restored, considering limited resources and distribution facilities. Several studies on resiliency have been conducted for the restoration of distribution systems. However, the inherent asynchronous characteristic on the information availability has not been incorporated. With incomplete and asynchronous information, decisions may be made that result in underutilization of generation resources. In this paper, a new distribution system restoration approach is proposed, considering uncertain devices and associated asynchronous information. It uses a two-module architecture that efficiently optimizes restoration actions using a binary linear programming model and evaluates their feasibility with unbalanced optimal power flow. Networked microgrids are included in the model. The IEEE 123-node test feeder is used for validation. Results show that asynchronous messages may affect the restoration actions significantly and the impacts can be mitigated by the proposed decision support tool for the DSOs.},
doi = {10.1109/ACCESS.2019.2930907},
journal = {IEEE Access},
number = ,
volume = 7,
place = {United States},
year = {2019},
month = {7}
}