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dc.contributor.authorDehghanpour, Kaveh
dc.contributor.authorColson, Christopher
dc.contributor.authorNehrir, Hashem
dc.date.accessioned2019-11-19T21:18:27Z
dc.date.available2019-11-19T21:18:27Z
dc.date.issued2017-05-01
dc.identifier.citationDehghanpour, Kaveh, Christopher Colson, and Hashem Nehrir. “A Survey on Smart Agent-Based Microgrids for Resilient/Self-Healing Grids.” Energies 10, no. 5 (May 3, 2017): 620. doi:10.3390/en10050620en_US
dc.identifier.issn1996-1073
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/15755
dc.description.abstractThis paper presents an overview of our body of work on the application of smart control techniques for the control and management of microgrids (MGs). The main focus here is on the application of distributed multi-agent system (MAS) theory in multi-objective (MO) power management of MGs to find the Pareto-front of the MO power management problem. In addition, the paper presents the application of Nash bargaining solution (NBS) and the MAS theory to directly obtain the NBS on the Pareto-front. The paper also discusses the progress reported on the above issues from the literature. We also present a MG-based power system architecture for enhancing the resilience and self-healing of the system.en_US
dc.rightsCC BY: This license lets you distribute, remix, tweak, and build upon this work, even commercially, as long as you credit the original creator for this work. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/legalcodeen_US
dc.titleA Survey on Smart Agent-Based Microgrids for Resilient/Self-Healing Gridsen_US
dc.typeArticleen_US
mus.citation.extentfirstpage620en_US
mus.citation.issue5en_US
mus.citation.journaltitleEnergiesen_US
mus.citation.volume10en_US
mus.identifier.doi10.3390/en10050620en_US
mus.relation.collegeCollege of Engineeringen_US
mus.relation.departmentElectrical & Computer Engineering.en_US
mus.relation.universityMontana State University - Bozemanen_US
mus.data.thumbpage6en_US


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CC BY: This license lets you distribute, remix, tweak, and build upon this work, even commercially, as long as you credit the original creator for this work. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.
Except where otherwise noted, this item's license is described as CC BY: This license lets you distribute, remix, tweak, and build upon this work, even commercially, as long as you credit the original creator for this work. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.

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