Fuzzy droop control loops adjustment for stored energy balance in distributed energy storage system

Nelson Leonardo Diaz Aldana, Dan Wu, Tomislav Dragicevic, Juan Carlos Vasquez, Josep M. Guerrero

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

25 Citations (Scopus)
644 Downloads (Pure)

Abstract

The study of isolated AC microgrid has been under high interest due to the integration of renewable energy resources especially for remote areas, or to improve the local energy reliability. The current trend is oriented to distributed renewable energy sources and their corresponding energy storage system, in order to smooth the variations at the prime energy generator. In this paper, a decentralized strategy based on fuzzy logic is proposed in order to balance the state of charge of distributed energy storage systems in lowvoltage three phase AC microgrid. The proposed method weights the action of conventional droop control loops for battery based distributed energy storage systems, in order to equalize their stored energy. The units are selfcontrolled by using local variables, hence, the microgrid can operate without communication systems. Frequency and voltage bus signaling are used in order to coordinate the operation of the microgrid under different stages for charging batteries. Simulation results show the feasibility of the proposed method.
Original languageEnglish
Title of host publicationProceedings of the 2015 9th International Conference on Power Electronics and ECCE Asia (ICPE-ECCE Asia)
Number of pages8
PublisherIEEE Press
Publication date2015
Pages728 - 735
DOIs
Publication statusPublished - 2015
Event9th International Conference on Power Electronics and ECCE Asia (ICPE-ECCE Asia 2015) - Seoul, Korea, Republic of
Duration: 1 Jun 20155 Jun 2015

Conference

Conference9th International Conference on Power Electronics and ECCE Asia (ICPE-ECCE Asia 2015)
Country/TerritoryKorea, Republic of
CitySeoul
Period01/06/201505/06/2015

Keywords

  • Distributed energy storage systems
  • State of charge
  • Fuzzy inference system
  • Droop control

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