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dc.contributor.authorDehghanpour, Kaveh
dc.contributor.authorNehrir, Hashem
dc.date.accessioned2019-11-19T21:01:48Z
dc.date.available2019-11-19T21:01:48Z
dc.date.issued2019-01-24
dc.identifier.citationDehghanpour, Kaveh, and Hashem Nehrir. “A Market-Based Resilient Power Management Technique for Distribution Systems with Multiple Microgrids Using a Multi-Agent System Approach.” Electric Power Components and Systems (January 24, 2019): 1–12. doi:10.1080/15325008.2018.1527869en_US
dc.identifier.issn1532-5008
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/15752
dc.description.abstractIn this paper, we present a market-based resilient power management procedure for electrical distribution systems consisting of multiple cooperative MiroGrids (MGs). Distributed optimization is used to find the optimal resource allocation for the multiple MG system, while maintaining the local and global constraints, including keeping the voltage levels of the micro-sources within bounds. The proposed method is based on probabilistic reasoning in order to consider the uncertainty of the decision model in preparation for expected extreme events and in case of unit failure, to improve the resiliency of the system. Basically, the power management problem formulation is a multiobjective optimization problem, which is solved using the concept of Nash Bargaining Solution (NBS). The simulation results show that the proposed method is able to improve the resiliency of the system and prepare it for extreme events and unit failure, by increasing power reserve and modifying the operating point of the system to maintain voltage and power constraints across the MGs.en_US
dc.rightsThis Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).en_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en_US
dc.titleA Market-Based Resilient Power Management Technique for Distribution Systems with Multiple Microgrids Using a Multi-Agent System Approach.en_US
dc.typeArticleen_US
mus.citation.extentfirstpage1744en_US
mus.citation.extentlastpage1755en_US
mus.citation.issue16-17en_US
mus.citation.journaltitleElectric Power Components and Systemsen_US
mus.citation.volume46en_US
mus.identifier.doi10.1080/15325008.2018.1527869en_US
mus.relation.collegeCollege of Engineeringen_US
mus.relation.departmentElectrical & Computer Engineering.en_US
mus.relation.universityMontana State University - Bozemanen_US
mus.data.thumbpage10en_US


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