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

Kaveh Dehghanpour, Christopher Colson and Hashem Nehrir
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Kaveh Dehghanpour: Electrical and Computer Engineering, Montana State University, Bozeman, MT 59717, USA
Christopher Colson: Western Area Power Administration, Billings, MT 59101, USA
Hashem Nehrir: Electrical and Computer Engineering, Montana State University, Bozeman, MT 59717, USA

Energies, 2017, vol. 10, issue 5, 1-25

Abstract: 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.

Keywords: microgrid; smart grid; multi-agent systems; multi-objective optimization; hierarchical control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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