Online Coordination of LNG Tube Trailer Dispatch and Resilience Restoration of Integrated Power-Gas Distribution SystemsShow others and affiliations
2022 (English)In: IEEE Transactions on Smart Grid, ISSN 1949-3053, E-ISSN 1949-3061, Vol. 13, no 3, p. 1938-1951Article in journal (Refereed) Published
Abstract [en]
Severe winter storms can damage critical components of integrated power-gas distribution systems (IPGS), such as pulling down distribution lines and freezing gas pipelines/sources, causing electricity and gas supply disruptions. Liquefied natural gas (LNG) has a high energy density and can be transported by trailers, hence has great potential in multienergy restoration. This paper studies the application of LNG trailers in the IPGS restoration. The process that the poststorm restoration coordinated with the trailer dispatch and the emergency operation is fully explored. The trailer dispatch is modeled as a finite-state machine; An efficient policy is proposed to dynamically update the real-time dispatch strategy without future knowledge of uncertainties. For the emergency operation of IPGS, storm-induced damages are considered in the modeling. Then, an online framework is proposed to satisfy the need for IPGS restoration with trailers. Compared with the offline method, the proposed framework does not require future information, so is adaptive to environmental uncertainty and easy to implement. Also, the framework solves a dedicated problem involving the observed information in a single period, hence enjoys a high computational efficiency. The simulation results demonstrate the potential of LNG trailers in resilience enhancement and validate the efficiency of the proposed method.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2022. Vol. 13, no 3, p. 1938-1951
Keywords [en]
Winter storm, resilience, restoration, integrated power-gas system, liquefied natural gas, trailer, online
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:kth:diva-311914DOI: 10.1109/TSG.2022.3141548ISI: 000785772000026Scopus ID: 2-s2.0-85122881338OAI: oai:DiVA.org:kth-311914DiVA, id: diva2:1656501
Note
QC 20220506
2022-05-062022-05-062022-06-25Bibliographically approved