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

Chendan Li, Mehdi Savaghebi, Josep M. Guerrero, Ernane A. A. Coelho and Juan C. Vasquez
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Chendan Li: Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark
Mehdi Savaghebi: Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark
Josep M. Guerrero: Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark
Ernane A. A. Coelho: Núcleo de Pesquisa em Eletrônica de Potência (NUPEP), Faculdade de Engenharia Elétrica (FEELT), Universidade Federal de Uberlandia (UFU), Uberlandia, Minas Gerais 38400-902, Brazil
Juan C. Vasquez: Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark

Energies, 2016, vol. 9, issue 9, 1-19

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.

Keywords: AC microgrid; economic dispatch problem (EDP); operation cost minimization; droop control; frequency scheduling; incremental cost consensus; multiagent (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: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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