Please use this identifier to cite or link to this item: https://hdl.handle.net/10321/3412
DC FieldValueLanguage
dc.contributor.authorChidzonga, Richard F.en_US
dc.contributor.authorNleya, Bakheen_US
dc.date.accessioned2020-06-18T12:40:38Z-
dc.date.available2020-06-18T12:40:38Z-
dc.date.issued2020-04-
dc.identifier.citationChidzonga, R. and Nleya, B. 2020. Energy optimization for a smart prosumer. PONTE International Scientific Researches Journal 76(4). Available: doi:10.21506/j.ponte.2020.4.7en_US
dc.identifier.urihttp://hdl.handle.net/10321/3412-
dc.description.abstractThis paper outlines the optimization of cost of electrical energy consumption for a small microgrid typical of a residential area where each household has renewable generation capability and the daily load is portioned into essential none-interruptible and schedulable or interruptible loads. Dual tariffs exist, for buying and the other for in-feed into the utility grid. The optimization makes appliances scheduling decisions to suit prevailing power availability as well amount of power to sell or procure from the utility depending on availability and prevailing real time pricing. We assume availability of time-variant energy parameters, then formulate a global optimization problem whose solutions leads to quantification of the optimal amount of energy purchased and sold for each of the individual households. When the unrealistic assumption of availability of information is removed from the implementation of the global optimization, an online algorithm that only requires the current values of the time varying supply and demand processes shows by simulation that the distributed algorithm can realise credible scheduling of prosumer household electricity usage. This is imperative as the very requirement of involving the consumer for appliances scheduling defeats the optimization cause as humans are not suitable for such repetitive and mundane tasks.en_US
dc.format.extent13 pen_US
dc.language.isoenen_US
dc.publisherPONTE International Scientific Researches Journalen_US
dc.relation.ispartofPONTE International Scientific Researches Journal, Vol. 76, Issue 4en_US
dc.subjectElectric energy costen_US
dc.subjectOptimizationen_US
dc.subjectRenewable generation and smart griden_US
dc.titleEnergy optimization for a smart prosumeren_US
dc.typeArticleen_US
dc.date.updated2020-04-30T06:54:39Z-
dc.publisher.urihttp://www.pontejournal.net/mainpanel/abstract.php?TOKEN=gRkgF5411G&PID=PJ-OXOS8en_US
dc.identifier.doi10.21506/j.ponte.2020.4.7-
local.sdgSDG07-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeArticle-
Appears in Collections:Research Publications (Engineering and Built Environment)
Files in This Item:
File Description SizeFormat
Chidzonga_PISRJ_Vol76#4_13Pgs_2020.pdf510.22 kBAdobe PDFView/Open
Show simple item record

Page view(s)

457
checked on Dec 22, 2024

Download(s)

106
checked on Dec 22, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.