Hierarchical Control with Virtual Resistance Optimization for Efficiency Enhancement and State-of-Charge Balancing in DC Microgrids

Lexuan Meng, Tomislav Dragicevic, Juan Carlos Vasquez Quintero, Josep M. Guerrero, Eleonora Riva Sanseverino

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

17 Citations (Scopus)
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Abstract

This paper proposes a hierarchical control scheme which applies optimization method into DC microgrids in order to improve the system overall efficiency while considering the State-of-Charge (SoC) balancing at the same time. Primary droop controller, secondary voltage restoration controller and tertiary optimization tool formulate the complete hierarchical control system. Virtual resistances are taken as the decision variables for achieving the objective. simulation results are presented to verify the proposed approach.
Original languageEnglish
Title of host publicationProceedings of the 2015 IEEE First International Conference on DC Microgrids (ICDCM)
Number of pages6
PublisherIEEE Press
Publication date2015
Pages1-6
DOIs
Publication statusPublished - 2015
Event2015 IEEE First International Conference on DC Microgrids (ICDCM) - Atlanta, United States
Duration: 7 Jun 201510 Jun 2015

Conference

Conference2015 IEEE First International Conference on DC Microgrids (ICDCM)
CountryUnited States
CityAtlanta
Period07/06/201510/06/2015

Keywords

  • Hierarchical control
  • Genetic algorithm
  • Efficiency
  • State-of-charge

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    Meng, L., Dragicevic, T., Quintero, J. C. V., Guerrero, J. M., & Sanseverino, E. R. (2015). Hierarchical Control with Virtual Resistance Optimization for Efficiency Enhancement and State-of-Charge Balancing in DC Microgrids. In Proceedings of the 2015 IEEE First International Conference on DC Microgrids (ICDCM) (pp. 1-6). IEEE Press. https://doi.org/10.1109/ICDCM.2015.7152000