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A Dynamic Game for Electricity Load Management in Neighborhood Area Networks

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dc.contributor.authorMediwaththe, Chathurika
dc.contributor.authorStephens, Edward R.
dc.contributor.authorSmith, David B.
dc.contributor.authorMahanti, Anirban
dc.date.accessioned2021-08-23T06:16:17Z
dc.date.issued2016
dc.description.abstractThis paper develops a novel energy trading system with a community energy storage (CES) device for demandside load management within a neighborhood area network. The energy users in the proposed system that have their own photovoltaic power generation are allowed to trade energy from their personal surplus with the grid and the CES device. We adopt a dynamic noncooperative repeated game with Paretoefficient pure strategies as the decentralized approach for the users to determine optimal energy trading amounts for the next day. This decentralized model needs minimal information exchange or communication between users. Simulation results show that our system is able to provide peak load leveling for the grid, while providing financial benefits to users. Moreover, the performance benefits of our system are robust to both inaccuracy in day-ahead power forecasts and CES battery inefficiencies.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn1949-3053en_AU
dc.identifier.urihttp://hdl.handle.net/1885/244993
dc.language.isoen_AUen_AU
dc.publisherIEEEen_AU
dc.rights© 2016 IEEEen_AU
dc.sourceIEEE Transactions on Smart Griden_AU
dc.subjectCommunity energy storage (CES)en_AU
dc.subjectgame theoryen_AU
dc.subjectload managementen_AU
dc.subjectmicrogriden_AU
dc.subjectneighborhood area network,en_AU
dc.subjectphotovoltaic (PV) power generationen_AU
dc.titleA Dynamic Game for Electricity Load Management in Neighborhood Area Networksen_AU
dc.typeJournal articleen_AU
local.bibliographicCitation.issue3en_AU
local.bibliographicCitation.lastpage1336en_AU
local.bibliographicCitation.startpage1329en_AU
local.contributor.affiliationResearch Fellowen_AU
local.contributor.authoruidu1049257en_AU
local.description.embargo2099-12-31
local.identifier.citationvolume7en_AU
local.identifier.doi10.1109/TSG.2015.2438892en_AU
local.publisher.urlhttps://www.ieee.org/en_AU
local.type.statusPublished Versionen_AU

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