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Energies 2017, 10(7), 1017; https://doi.org/10.3390/en10071017

Distributed Coordination Control Strategy for a Multi-Microgrid Based on a Consensus Algorithm

1
Central Area Branch Office, KPX, 32, Yongam 6-gil, Buk-myeon, Dongnam-gu, Cheonan-si, Chungcheongnam-do 31242, Korea
2
LG CNS, 28F, FKI Tower, 24, Yeoui-daero, Yeongdeungpo-gu, Seoul 07320, Korea
3
Department of Electrical Engineering, Inha University, 100, Inha-ro, Nam-gu, Incheon 22212, Korea
*
Author to whom correspondence should be addressed.
Received: 28 March 2017 / Revised: 11 June 2017 / Accepted: 11 July 2017 / Published: 18 July 2017
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Abstract

Microgrids (MGs) in which power generation and consumption occur locally have gained prominence, and MG demonstration tests have been widely carried out. In accordance with the increase in the number of MG installations, studies regarding the cooperative control of multiple MGs are proceeding in various forms. In this paper, the distributed control strategy of a multi-microgrid (MMG) is proposed. Distributed control is the method in which agents of the electric power facility autonomously control their facility through communication with the neighboring agents only. In this process, a consensus algorithm is utilized to obtain the global information required to control the overall system. In this distributed control strategy, a single MG is operated at an optimal economic point using the equality incremental cost constraints while maintaining the balance between the generation and demand. The control strategy of a MMG is that the flow of the point of common coupling (PCC) is maintained at a particular value needed by the utility and the internal change in power is distributed to the MGs according to their reserves. The proposed algorithm is verified in the MG level and the MMG level through a simulation model using PSCAD/EMTDC software in the C language. View Full-Text
Keywords: consensus algorithm; distributed control; microgrid; multi agent system; multi-microgrid consensus algorithm; distributed control; microgrid; multi agent system; multi-microgrid
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Lee, S.-J.; Choi, J.-Y.; Lee, H.-J.; Won, D.-J. Distributed Coordination Control Strategy for a Multi-Microgrid Based on a Consensus Algorithm. Energies 2017, 10, 1017.

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