The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Multi-Time Step Service Restoration for Advanced Distribution Systems and Microgrids
Open accessAbstract
Modern power systems are facing increased risk of disasters that can cause extended outages. The presence of remote control switches, distributed generators (DGs), and energy storage systems (ESS) provides both challenges and opportunities for developing post-fault service restoration methodologies. Inter-temporal constraints of DGs, ESS, and loads under cold load pickup conditions impose extra complexity on problem formulation and solution. In this paper, a multi-time step service restoration methodology is proposed to optimally generate a sequence of control actions for controllable switches, ESSs, and dispatchable DGs to assist the system operator with decision making. The restoration sequence is determined to minimize the unserved customers by energizing the system step by step without violating operational constraints at each time step. The proposed methodology is formulated as a mixed-integer linear programming model and can adapt to various operation conditions. The proposed method is validated through several case studies that are performed on modified IEEE 13-node and IEEE 123-node test feeders.
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Citations
Cites
Network reconfiguration in distribution systems for loss reduction and load balancing
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Network Reconfiguration in Distribution Systems for Loss Reduction and Load Balancing
Baran, M. E., & Wu, F. F. (1989) · IEEE Power Engineering Review · doi:10.1109/mper.1989.4310642 · Cited by 3,350
Defining Control Strategies for MicroGrids Islanded Operation
Lopes, J. A. P., Moreira, C. L., & Madureira, A. G. (2006) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2006.873018 · Cited by 2,312
Resilient Distribution System by Microgrids Formation After Natural Disasters
Chen, C., Wang, J., Qiu, F., & Zhao, D. (2016) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2015.2429653 · Cited by 944
Self-citationConvex Models of Distribution System Reconfiguration
Taylor, J. A., & Hover, F. S. (2012) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2012.2184307 · Cited by 444
Weather-Related Power Outages and Electric System Resiliency
Campbell, R. (2012) · University of North Texas Digital Library (University of North Texas) · Cited by 400
Distribution System Restoration With Microgrids Using Spanning Tree Search
Li, J., Ma, X.-Y., Liu, C.-C., & Schneider, K. P. (2014) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2014.2312424 · Cited by 372
Inverter VAR control for distribution systems with renewables
Farivar, M., Clarke, C. R., Low, S. H., & Chandy, K. M. (2011) · 2011 IEEE International Conference on Smart Grid Communications (SmartGridComm) · doi:10.1109/smartgridcomm.2011.6102366 · Cited by 331
Power System Restoration - A Task Force Report
Adibi, M., Clelland, P., Fink, L., Happ, H., Kafka, R., Raine, J., Scheurer, D., & Trefny, F. (1987) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.1987.4335118 · Cited by 236
New Challenges in Power System Restoration With Large Scale of Dispersed Generation Insertion
Pham, T. T. H., Besanger, Y., & Hadjsaid, N. (2009) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2008.2009477 · Cited by 189
Cited by
Chen, C., Wang, J., & Ton, D. (2017) · Proceedings of the IEEE · doi:10.1109/jproc.2017.2684780 · Cited by 293
Self-citationPrabawa, P., & Choi, D.-H. (2021) · IEEE Access · doi:10.1109/access.2021.3109621 · Cited by 31
Metadata
- Authors
- Chen, B., Chen, C., Wang, J., & Butler-Purry, K. L.
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2018-11
- Volume
- 9
- Issue
- 6
- Pages
- 6793-6805
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W2726870049
- Cited by
- 257
- References
- 17
- FWCI
- 6.49
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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