• DocumentCode
    184414
  • Title

    BitTorrent-inspired decentralized management of residential distributed energy resources (DER)

  • Author

    Titus, Matthew C. ; Bequette, B. Wayne

  • Author_Institution
    Rensselaer Polytech. Inst., Troy, NY, USA
  • fYear
    2014
  • fDate
    4-6 June 2014
  • Firstpage
    46
  • Lastpage
    51
  • Abstract
    A novel decentralized approach to the management of residential distributed energy resources (DER) such as solar PV, wind, fuel cells, energy storage devices, and demand response (DR) is described. This new methodology treats residential electricity customers as peers in a BitTorrent-like power swarm, designed to efficiently dispatch local generation, storage, and demand response capacity to perform real-time demand-side load balancing without centralized control. It is envisioned that the technology could be implemented by utilities as an internet-based service layer that would allow more widespread integration of DER and smart devices within the existing power system. Initial MATLAB simulations of a 10-residence neighborhood with distributed generation (DG) demonstrate that BitTorrent is an effective protocol for decentralized load balancing, significantly reducing both local (peer) and aggregate (swarm) demand spikes.
  • Keywords
    distributed power generation; power generation dispatch; protocols; resource allocation; 10-residence neighborhood; BitTorrent-inspired decentralized management; BitTorrent-like power swarm; DER management; Internet-based service layer; MATLAB simulations; decentralized load balancing; demand response capacity; distributed generation; local generation dispatching; power system; protocol; real-time demand-side load balancing; residential distributed energy resources management; residential electricity customers; smart devices; Aggregates; Bandwidth; Density estimation robust algorithm; Electricity; Internet; Load management; Power distribution; Agents-based systems; Decentralized control; Power systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2014
  • Conference_Location
    Portland, OR
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-3272-6
  • Type

    conf

  • DOI
    10.1109/ACC.2014.6859090
  • Filename
    6859090