DGs for Service Restoration to Critical Loads in a Secondary Network

Journal Article · Fri Aug 25 00:00:00 EDT 2017 · IEEE Transactions on Smart Grid

DOI:https://doi.org/10.1109/TSG.2017.2743158· OSTI ID:1438230

Xu, Yin ^[1]; Liu, Chen-Ching ^[2]; Wang, Zhiwen ^[3]; Mo, Kefei ^[4]; Schneider, Kevin P. ^[5]; Tuffner, Francis K. ^[5]; Ton, Dan T. ^[6]

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1. Beijing Jiaotong Univ., Beijing (China). School of Electrical Engineering
2. Washington State Univ., Pullman, WA (United States). School of Electrical Engineering and Computer Science; Univ. College Dublin (Ireland). School of Mechanical and Materials Engineering
3. Tsinghua Univ., Beijing (China). Dept. of Electrical Engineering
4. Washington State Univ., Pullman, WA (United States). School of Electrical Engineering and Computer Science
5. Pacific Northwest National Lab. (PNNL), Seattle, WA (United States). Battelle Seattle Research Center
6. USDOE Office of Electricity Delivery and Energy Reliability (OE), Washington, DC (United)

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. Finally, numerical simulation of the modified IEEE 342-node low voltage networked test system is performed to validate the effectiveness of the proposed method.

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE Office of Electricity Delivery and Energy Reliability (OE)
• Grant/Contract Number: AC05-76RL01830
• OSTI ID: 1438230
• Alternate ID(s): OSTI ID: 1496819
• Report Number(s): PNNL-SA--131833
• Journal Information: IEEE Transactions on Smart Grid, Journal Name: IEEE Transactions on Smart Grid Journal Issue: 1 Vol. 10; ISSN 1949-3053
• Publisher: IEEE
• Country of Publication: United States
• Language: English

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