Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/50225

An Adaptive Optimization-Based Load Shedding Scheme in Microgrids

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Title: An Adaptive Optimization-Based Load Shedding Scheme in Microgrids
Authors: Gholami, Amin
Shekari, Tohid
Sun, Andy
Keywords: Integrating Distributed or Renewable Resources
frequency stability, under-frequency load shedding, microgrid, adaptive optimization
Issue Date: 03 Jan 2018
Abstract: This 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.
Pages/Duration: 10 pages
URI/DOI: http://hdl.handle.net/10125/50225
ISBN: 978-0-9981331-1-9
DOI: 10.24251/HICSS.2018.337
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:Integrating Distributed or Renewable Resources


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