Stored Energy Balance for Distributed PV-Based Active Generators in an AC Microgrid

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

13 Citations (Scopus)
583 Downloads (Pure)

Abstract

In this paper, a decentralized strategy based on fuzzy logic is proposed for balancing the state of charge of the energy storage units for distributed PV-based active generators. The proposed method, weights the action of conventional droop control loops for privileging the charge of the energy storage unit with the smallest state of charge or force a faster discharge of the energy storage system with the biggest state of charge. The units are self-controlled by using local variables, hence, the microgrid can operate without relying on communication systems. The proposed strategy is completely expandable and can be applied to a several number of power generators interconnected in a microgrid. Frequency and voltage bus signaling is used in order to coordinate the control operation mode between units. Simulation results in a low-voltage, three-phase, islanded AC microgrid show the feasibility of the proposed method and its applicability even for several active generators.
Original languageEnglish
Title of host publicationProceedings of the 2015 IEEE Power & Energy Society General Meeting
Number of pages5
PublisherIEEE Press
Publication dateJul 2015
Pages1-5
ISBN (Print)978-1-4673-8040-9
DOIs
Publication statusPublished - Jul 2015
EventIEEE Power & Energy Society General Meeting, PES 2015 - Sheraton Denver Downtown Hotel 1550 Court Place, Denver, Colorado, United States
Duration: 26 Jul 201530 Jul 2015

Conference

ConferenceIEEE Power & Energy Society General Meeting, PES 2015
LocationSheraton Denver Downtown Hotel 1550 Court Place
Country/TerritoryUnited States
CityDenver, Colorado
Period26/07/201530/07/2015

Keywords

  • Active Generators
  • Energy Storage Balance
  • Fuzzy system
  • Droop Control

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