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Title: DGs for Service Restoration to Critical Loads in a Secondary Network

Abstract

During a major outage in a secondary network distribution system, distributed generators (DGs) connected to the primary feeders as well as the secondary network can be used to serve critical loads. This paper proposed a resilience-oriented method to determine restoration strategies for secondary network distribution systems after a major disaster. Technical issues associated with the restoration process are analyzed, including the operation of network protectors, inrush currents caused by the energization of network transformers, synchronization of DGs to the network, and circulating currents among DGs. A look-ahead load restoration framework is proposed, incorporating technical issues associated with secondary networks, limits on DG capacity and generation resources, dynamic constraints, and operational limits. The entire outage duration is divided into a sequence of periods. Restoration strategies can be adjusted at the beginning of each period using the latest information. Numerical simulation of the modified IEEE 342-node low voltage networked test system is performed to validate the effectiveness of the proposed method.

Authors:
ORCiD logo; ; ORCiD logo; ; ORCiD logo; ORCiD logo;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE Office of Electricity Delivery and Energy Reliability (OE)
OSTI Identifier:
1496819
Report Number(s):
PNNL-SA-131833
Journal ID: ISSN 1949-3053
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
IEEE Transactions on Smart Grid
Additional Journal Information:
Journal Volume: 10; Journal Issue: 1; Journal ID: ISSN 1949-3053
Publisher:
IEEE
Country of Publication:
United States
Language:
English

Citation Formats

Xu, Yin, Liu, Chen-Ching, Wang, Zhiwen, Mo, Kefei, Schneider, Kevin P., Tuffner, Francis K., and Ton, Dan T. DGs for Service Restoration to Critical Loads in a Secondary Network. United States: N. p., 2019. Web. doi:10.1109/TSG.2017.2743158.
Xu, Yin, Liu, Chen-Ching, Wang, Zhiwen, Mo, Kefei, Schneider, Kevin P., Tuffner, Francis K., & Ton, Dan T. DGs for Service Restoration to Critical Loads in a Secondary Network. United States. doi:10.1109/TSG.2017.2743158.
Xu, Yin, Liu, Chen-Ching, Wang, Zhiwen, Mo, Kefei, Schneider, Kevin P., Tuffner, Francis K., and Ton, Dan T. Tue . "DGs for Service Restoration to Critical Loads in a Secondary Network". United States. doi:10.1109/TSG.2017.2743158.
@article{osti_1496819,
title = {DGs for Service Restoration to Critical Loads in a Secondary Network},
author = {Xu, Yin and Liu, Chen-Ching and Wang, Zhiwen and Mo, Kefei and Schneider, Kevin P. and Tuffner, Francis K. and Ton, Dan T.},
abstractNote = {During a major outage in a secondary network distribution system, distributed generators (DGs) connected to the primary feeders as well as the secondary network can be used to serve critical loads. This paper proposed a resilience-oriented method to determine restoration strategies for secondary network distribution systems after a major disaster. Technical issues associated with the restoration process are analyzed, including the operation of network protectors, inrush currents caused by the energization of network transformers, synchronization of DGs to the network, and circulating currents among DGs. A look-ahead load restoration framework is proposed, incorporating technical issues associated with secondary networks, limits on DG capacity and generation resources, dynamic constraints, and operational limits. The entire outage duration is divided into a sequence of periods. Restoration strategies can be adjusted at the beginning of each period using the latest information. Numerical simulation of the modified IEEE 342-node low voltage networked test system is performed to validate the effectiveness of the proposed method.},
doi = {10.1109/TSG.2017.2743158},
journal = {IEEE Transactions on Smart Grid},
issn = {1949-3053},
number = 1,
volume = 10,
place = {United States},
year = {2019},
month = {1}
}