Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/89545
Title: Transportable energy storage for more resilient distribution systems with multiple microgrids
Authors: Yao, Shuhan
Wang, Peng
Zhao, Tianyang
Keywords: Transportable Energy Storage Systems
Microgrids
Engineering::Electrical and electronic engineering
Issue Date: 2019
Source: Yao, S., Wang, P., & Zhao, T. (2019). Transportable energy storage for more resilient distribution systems with multiple microgrids. IEEE Transactions on Smart Grid, 10(3), 3331-3341. doi:10.1109/TSG.2018.2824820
Series/Report no.: IEEE Transactions on Smart Grid
Abstract: Transportable energy storage systems (TESSs) have great potential to enhance resilience of distribution systems (DSs) against large area blackouts. A joint post-disaster restoration scheme for TESS and generation scheduling in microgrids (MGs) and network reconfigurations is proposed to minimize the total system cost, including customer interruption cost, generation cost, and TESS related costs. A temporal-spatial TESS model which is related to both transportation networks and DSs is proposed to represent the difference between TESS and ESS in terms of flexibility and cost reduction of ESS sharing among MGs. The proposed restoration problem is formulated as a mixed-integer linear programming with considering various network and TESS constraints. The proposed model and scheme are tested in a modified 33-bus test system with three MGs and four TESSs. The results verify that a distribution system with TESS is more resilient compared with conventional ESS because of the benefit from total cost reduction.
URI: https://hdl.handle.net/10356/89545
http://hdl.handle.net/10220/49472
ISSN: 1949-3053
DOI: 10.1109/TSG.2018.2824820
Rights: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TSG.2018.2824820
Fulltext Permission: open
Fulltext Availability: With Fulltext
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