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Energies 2016, 9(9), 717; doi:10.3390/en9090717

Operation Cost Minimization of Droop-Controlled AC Microgrids Using Multiagent-Based Distributed Control

1
Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark
2
Núcleo de Pesquisa em Eletrônica de Potência (NUPEP), Faculdade de Engenharia Elétrica (FEELT), Universidade Federal de Uberlandia (UFU), Uberlandia, Minas Gerais 38400-902, Brazil
*
Author to whom correspondence should be addressed.
Academic Editor: Neville Watson
Received: 6 July 2016 / Revised: 15 August 2016 / Accepted: 29 August 2016 / Published: 6 September 2016
(This article belongs to the Collection Smart Grid)
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Abstract

Recently, microgrids are attracting increasing research interest as promising technologies to integrate renewable energy resources into the distribution system. Although many works have been done on droop control applied to microgrids, they mainly focus on achieving proportional power sharing based on the power rating of the power converters. With various primary source for the distributed generator (DG), factors that are closely related to the operation cost, such as fuel cost of the generators and losses should be taken into account in order to improve the efficiency of the whole system. In this paper, a multiagent-based distributed method is proposed to minimize the operation cost in AC microgrids. In the microgrid, each DG is acting as an agent which regulates the power individually using a novel power regulation method based on frequency scheduling. An optimal power command is obtained through carefully designed consensus algorithm by using sparse communication links only among neighbouring agents. Experimental results for different cases verified that the proposed control strategy can effectively reduce the operation cost. View Full-Text
Keywords: AC microgrid; economic dispatch problem (EDP); operation cost minimization; droop control; frequency scheduling; incremental cost consensus; multiagent AC microgrid; economic dispatch problem (EDP); operation cost minimization; droop control; frequency scheduling; incremental cost consensus; multiagent
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Li, C.; Savaghebi, M.; Guerrero, J.M.; Coelho, E.A.A.; Vasquez, J.C. Operation Cost Minimization of Droop-Controlled AC Microgrids Using Multiagent-Based Distributed Control. Energies 2016, 9, 717.

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