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Distributed Multi-Period Optimal Power Flow for Demand Response in Microgrids

Scott, Paul; Thiebaux, Sylvie

Description

The scalability and privacy preserving nature of distributed optimisation techniques makes them ideal for coordinating many independently acting agents in a microgrid setting. However, their practical applicability remains an open question in this context, since AC power flows are inherently non-convex and households make discrete decisions about how to schedule their loads. In this paper, we show that one such method, the alternating direction method of multipliers (ADMM), can be adapted to...[Show more]

dc.contributor.authorScott, Paul
dc.contributor.authorThiebaux, Sylvie
dc.coverage.spatialBangalore, India
dc.date.accessioned2016-06-14T23:21:13Z
dc.date.createdJuly 14-17, 2015
dc.identifier.isbn9781450336093
dc.identifier.urihttp://hdl.handle.net/1885/103777
dc.description.abstractThe scalability and privacy preserving nature of distributed optimisation techniques makes them ideal for coordinating many independently acting agents in a microgrid setting. However, their practical applicability remains an open question in this context, since AC power flows are inherently non-convex and households make discrete decisions about how to schedule their loads. In this paper, we show that one such method, the alternating direction method of multipliers (ADMM), can be adapted to remain practical in this challenging microgrid setting. We formulate and solve a multi-period optimal power flow (OPF) problem featuring independent households with shiftable loads, and study the results obtained with a range of power flow models and approaches to managing discrete decisions. Our experiments on a suburb-sized microgrid show that the AC power flows and a simple two-stage approach to handling discrete decisions do not appear to cause convergence issues, and provide near optimal results in a time that is practical for receding horizon control. This work brings distributed control for microgrids several steps closer to reality
dc.publisherAssociation for Computing Machinery (ACM)
dc.relation.ispartofseries6th ACM International Conference on Future Energy Systems (ACM e-Energy) 2015
dc.sourceDistributed Multi-Period Optimal Power Flow for Demand Response in Microgrids
dc.titleDistributed Multi-Period Optimal Power Flow for Demand Response in Microgrids
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2015
local.identifier.absfor080501 - Distributed and Grid Systems
local.identifier.ariespublicationu4334215xPUB1500
local.type.statusPublished Version
local.contributor.affiliationScott, Paul, College of Engineering and Computer Science, ANU
local.contributor.affiliationThiebaux, Sylvie, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage1
local.bibliographicCitation.lastpage10
local.identifier.doi10.1145/2768510.2768534
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
dc.date.updated2016-06-14T09:02:58Z
local.identifier.scopusID2-s2.0-84961249092
CollectionsANU Research Publications

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