Journal
ENERGIES
Volume 10, Issue 5, Pages -Publisher
MDPI
DOI: 10.3390/en10050620
Keywords
microgrid; smart grid; multi-agent systems; multi-objective optimization; hierarchical control
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Funding
- US National Science Foundation Graduate Student Fellowship
- US DOE Office of Basic Energy Science [DE-FG02-11ER46817]
- NEC Labs America
- Montana State University
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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.
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