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
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