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dc.contributor.authorSyu, Jia-Hao
dc.contributor.authorLin, Jerry Chun-Wei
dc.contributor.authorSrivastava, Gautam
dc.date.accessioned2023-03-24T13:00:08Z
dc.date.available2023-03-24T13:00:08Z
dc.date.created2022-09-23T13:28:12Z
dc.date.issued2022
dc.identifier.citationSustainable Computing: Informatics and Systems. 2022, 36:100786.en_US
dc.identifier.issn2210-5379
dc.identifier.urihttps://hdl.handle.net/11250/3060366
dc.description.abstractAccording to the Paris agreement and the European climate law, carbon neutrality should be achieved by 2050. Therefore, the long-term planning of energy production and the development of green energy have become indispensable research topics in recent years. Due to the unstable production and high cost of green energy, the mechanisms of operating reserve and subsidy should be included in the energy management system. In this paper, we proposed a Call Auction-based Energy Management System (CAEMS) that manages energy using economic theories and dynamic control mechanisms. We use production theory to determine the amount of energy produced, which takes into account the market equilibrium price of supply and demand curves. Then, a dynamic operating reserve rate is designed and embedded in the demand curve to ensure energy stability. An adaptive and self-financing subsidy is proposed to gradually achieve the target energy distribution. Simulation results show that the CAEMS has outstanding improvements in convergence day (42% reduction), mean absolute error (MAE) of supply distribution (1.2% in each type), and extremely low MAE of operating reserve rate (3.2%) and failure rate (0.03%).en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleCall Auction-Based Energy Management System with Adaptive Subsidy and Dynamic Operating Reserveen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2022 The Author(s).en_US
dc.source.pagenumber9en_US
dc.source.volume36en_US
dc.source.journalSustainable Computing: Informatics and Systemsen_US
dc.identifier.doi10.1016/j.suscom.2022.100786
dc.identifier.cristin2054841
dc.source.articlenumber100786en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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