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Robust Look-ahead Three-phase Balancing of Uncertain Distribution Loads

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Item Summary Geng, Xinbo Gupta, Swati Xie, Le 2019-01-03T00:16:51Z 2019-01-03T00:16:51Z 2019-01-08
dc.identifier.isbn 978-0-9981331-2-6
dc.description.abstract Increasing penetration of highly variable components such as solar generation and electric vehicle charging loads pose significant challenges to keeping three-phase loads balanced in modern distribution systems. Failure to maintain balance across three phases would lead to asset deterioration and increasing delivery losses. Motivated by the real-world needs to automate and optimize the three-phase balancing decision making, this paper introduces a robust look-ahead optimization framework that pursues balanced phases in the presence of demand-side uncertainties. We show that look-ahead moving window optimization can reduce imbalances among phases at the cost of a limited number of phase swapping operations. Case studies quantify the improvements of the proposed methods compared with conventional deterministic phase balancing. Discussions on possible benefits of the proposed methods and extensions are presented.
dc.format.extent 10 pages
dc.language.iso eng
dc.relation.ispartof Proceedings of the 52nd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject Resilient Networks
dc.subject Electric Energy Systems
dc.subject distribution network, phase balancing, robust optimization, uncertainty
dc.title Robust Look-ahead Three-phase Balancing of Uncertain Distribution Loads
dc.type Conference Paper
dc.type.dcmi Text
dc.identifier.doi 10.24251/HICSS.2019.428
Appears in Collections: Resilient Networks

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