The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
A resilient microgrid formation strategy for load restoration considering master-slave distributed generators and topology reconfiguration
Abstract
Recent severe power outages caused by extreme weather hazards have highlighted the importance and urgency of improving the resilience of electric distribution grids. Microgrids with various types of distributed generators (DGs) have the potential to enhance the electricity supply continuity and thus facilitate resilient distribution grids under natural disasters. In this paper, a novel load restoration optimization model is proposed to coordinate topology reconfiguration and microgrid formation while satisfying a variety of operational constraints. The proposed method exploits benefits of operational flexibility provided by grid modernization to enable more critical load pickup. Specifically, a mixed-integer second order cone programming is employed to reduce the computational complexity of the proposed optimization with optimality guaranteed. Finally, the effectiveness of the proposed method has been verified on an IEEE 33-bus test case and a modified 615-bus test system.
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Cites
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Network Reconfiguration in Distribution Systems for Loss Reduction and Load Balancing
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Branch Flow Model: Relaxations and Convexification—Part I
Farivar, M., & Low, S. H. (2013) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2013.2255317 · Cited by 1,541
Smart Distribution: Coupled Microgrids
Lasseter, R. H. (2011) · Proceedings of the IEEE · doi:10.1109/jproc.2011.2114630 · Cited by 1,130
Resilient Distribution System by Microgrids Formation After Natural Disasters
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Self-citationConvex Relaxation of Optimal Power Flow—Part I: Formulations and Equivalence
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Minimum Loss Network Reconfiguration Using Mixed-Integer Convex Programming
Jabr, R. A., Singh, R. N., & Pal, B. C. (2012) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2011.2180406 · Cited by 632
Convex Relaxation of Optimal Power Flow -- Part I: Formulations and EquivalencePreprint
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Cited by
Microgrids: Overview and guidelines for practical implementations and operation
Cagnano, A., De Tuglie, E., & Mancarella, P. (2020) · Applied Energy · doi:10.1016/j.apenergy.2019.114039 · Cited by 339
Metadata
- Authors
- Ding, T., Lin, Y., Bie, Z., & Chen, C.
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2017-08
- Volume
- 199
- Pages
- 205-216
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W2613818784
- Cited by
- 353
- References
- 28
- FWCI
- 10.96
- Type
- journal article
- Language
- en
- Open access
- closed
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