Agent-based distributed hierarchical control of dc microgrid systems

Lexuan Meng, Juan Carlos Vasquez, Josep M. Guerrero, Tomislav Dragicevic

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In order to enable distributed control and management for microgrids, this paper explores the application of information consensus and local decisionmaking methods formulating an agent based distributed hierarchical control system. A droop controlled paralleled DC/DC converter system is taken as a case study. The objective is to enhance the system efficiency by finding the optimal sharing ratio of load current. Virtual resistances in local control systems are taken as decision variables. Consensus algorithms are applied for global information discovery and local control systems coordination. Standard genetic algorithm is applied in each local control system in order to search for a global optimum. Hardware-in-Loop simulation results are shown to demonstrate the effectiveness of the method.
Original languageEnglish
Title of host publicationProceedings of Electrimacs 2014
Number of pages6
Publication dateMay 2014
ISBN (Electronic)978-84-616-9961-2
Publication statusPublished - May 2014
EventElectrimacs 2014 - Valencia, Spain
Duration: 19 May 201422 May 2014


ConferenceElectrimacs 2014


  • DC microgrids
  • Distributed hierarchical control
  • Multi-agent systems
  • Consensus algorithm
  • Droop control
  • DC/DC converters

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    Meng, L., Vasquez, J. C., Guerrero, J. M., & Dragicevic, T. (2014). Agent-based distributed hierarchical control of dc microgrid systems. In Proceedings of Electrimacs 2014 (pp. 281-286). IMACS.