An Adaptive Optimization-Based Load Shedding Scheme in Microgrids

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dc.contributor.authorGholami, Amin
dc.contributor.authorShekari, Tohid
dc.contributor.authorSun, Andy
dc.date.accessioned2017-12-28T01:05:00Z
dc.date.available2017-12-28T01:05:00Z
dc.date.issued2018-01-03
dc.description.abstractThis paper proposes an adaptive optimization-based approach for under frequency load shedding (UFLS) in microgrids following an unintentional islanding. In the first step, the total amount of load curtailments is determined based on the system frequency response (SFR) model. Then, the proposed mixed-integer linear programming (MILP) model is executed to find the best location of load drops. The novel approach specifies the least cost load shedding scenario while satisfying network operational limitations. A look-up table is arranged according to the specified load shedding scenario to be implemented in the network if the islanding event occurs in the microgrid. To be adapted with system real-time conditions, the look-up table is updated periodically. The efficiency of the proposed framework is thoroughly evaluated in a test microgrid with a set of illustrative case studies.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2018.337
dc.identifier.isbn978-0-9981331-1-9
dc.identifier.urihttp://hdl.handle.net/10125/50225
dc.language.isoeng
dc.relation.ispartofProceedings of the 51st Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectIntegrating Distributed or Renewable Resources
dc.subjectfrequency stability, under-frequency load shedding, microgrid, adaptive optimization
dc.titleAn Adaptive Optimization-Based Load Shedding Scheme in Microgrids
dc.typeConference Paper
dc.type.dcmiText

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