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Energies 2017, 10(5), 620;

A Survey on Smart Agent-Based Microgrids for Resilient/Self-Healing Grids

Electrical and Computer Engineering, Montana State University, Bozeman, MT 59717, USA
Western Area Power Administration, Billings, MT 59101, USA
Author to whom correspondence should be addressed.
Academic Editor: Paras Mandal
Received: 26 January 2017 / Revised: 24 April 2017 / Accepted: 26 April 2017 / Published: 3 May 2017
(This article belongs to the Special Issue Smart Microgrids: Developing the Intelligent Power Grid of Tomorrow)
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This 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. View Full-Text
Keywords: microgrid; smart grid; multi-agent systems; multi-objective optimization; hierarchical control microgrid; smart grid; multi-agent systems; multi-objective optimization; hierarchical control

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Dehghanpour, K.; Colson, C.; Nehrir, H. A Survey on Smart Agent-Based Microgrids for Resilient/Self-Healing Grids. Energies 2017, 10, 620.

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