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dc.contributor.authorDeghganpour, Kaveh
dc.contributor.authorNehrir, Hashem
dc.date.accessioned2019-05-17T19:42:44Z
dc.date.available2019-05-17T19:42:44Z
dc.date.issued2019-01
dc.identifier.citationDehghanpour, Kaveh, and Hashem Nehrir. “An Agent-Based Hierarchical Bargaining Framework for Power Management of Multiple Cooperative Microgrids.” IEEE Transactions on Smart Grid 10, no. 1 (January 2019): 514–522. doi:10.1109/tsg.2017.2746014.en_US
dc.identifier.issn1949-3053
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/15483
dc.description.abstractIn this paper, we propose an agent-based hierarchical power management model in a power distribution system composed of several microgrids (MGs). At the lower level of the model, multiple MGs bargain with each other to cooperatively obtain a fair, and Pareto-optimal solution to their power management problem, employing the concept of Nash bargaining solution and using a distributed optimization framework. At the highest level of the model, a distribution system power supplier, e.g., a utility company, interacts with both the cluster of the MGs and the wholesale market. The goal of the utility company is to facilitate power exchange between the regional distribution network consisting of multiple MGs and the wholesale market to achieve its own private goals. The power exchange is controlled through dynamic energy pricing at the distribution level, at the day-ahead and real-time stages. To implement energy pricing at the utility company level, an iterative machine learning mechanism is employed, where the utility company develops a price-sensitivity model of the aggregate response of the MGs to the retail price signal through a learning process. This learned model is then used to perform optimal energy pricing. To verify its applicability, the proposed decision model is tested on a system with multiple MGs, with each MG having different load/generation data.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.titleAn Agent-Based Hierarchical Bargaining Framework for Power Management of Multiple Cooperative Microgridsen_US
dc.typeArticleen_US
mus.citation.extentfirstpage514en_US
mus.citation.extentlastpage522en_US
mus.citation.issue1en_US
mus.citation.journaltitleIEEE Transactions on Smart Griden_US
mus.citation.volume10en_US
mus.identifier.categoryEngineering & Computer Scienceen_US
mus.identifier.doi10.1109/tsg.2017.2746014en_US
mus.relation.collegeCollege of Engineeringen_US
mus.relation.departmentElectrical & Computer Engineering.en_US
mus.relation.universityMontana State University - Bozemanen_US


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