A Local Voting Protocol Based Cooperative DC Community Microgrids

Subham Sahoo, Jimmy Chih-Hsien Peng, Sukumar Mishra, Tomislav Dragicevic

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

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Under the conventional schemes, the battery management systems are usually designed from the system operator’s perspective aligning them with common modes of operation to either ensure the longevity of each battery or an economically viable option. However, in DC microgrids with the batteries reinforced by local investments of each customer, their operation is primarily governed by the consumers’ preferences. To support this feature, this paper introduced a local voting scheme using a binary distributed protocol based power management strategy for an autonomous network of PV-battery based cooperative DC community microgrid, allowing each customer to vote to undergo either energy balancing or load sharing between the batteries in a distributed manner based on their respective future usage. Moreover, it manifests these objectives using a voting index based on majority & emergency events which is used to resolve the system operation. The proposed control strategy is simulated to demonstrate its effectiveness for various voting scenarios under physical disturbances such as communication delay, link failure, converter failure & data packet loss and experimentally validated on a 600 W FPGA based experimental prototype.
Original languageEnglish
Title of host publicationProceedings of the 3rd International Conference on DC Microgrids 2019
Number of pages5
Place of PublicationMatsue, Japan
Publication date2020
Article number9232822
ISBN (Print)978-1-7281-3490-1
ISBN (Electronic)978-1-7281-3491-8, 978-1-7281-3492-5
Publication statusPublished - 2020
EventIEEE Third International Conference on DC Microgrids (ICDCM) - Matsue, Japan
Duration: 20 May 201923 May 2019


ConferenceIEEE Third International Conference on DC Microgrids (ICDCM)


  • DC Microgrid
  • Community microgrid
  • Consensus control
  • Voting protocol
  • Energy management
  • Residential microgrid


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