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Energy management of virtual power plant considering distributed generation sizing and pricing

2019-07-01Artigo científico Acesso aberto
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dc.contributor.authorMaanavi, Masoud
dc.contributor.authorNajafi, Arsalan
dc.contributor.authorGodina, Radu
dc.contributor.authorMahmoudian, Mehrdad
dc.contributor.authorRodrigues, Eduardo M. G.
dc.contributor.institutionUNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
dc.contributor.institutionDEMI - Departamento de Engenharia Mecânica e Industrial
dc.contributor.pblMDPI - Multidisciplinary Digital Publishing Institute
dc.date.accessioned2020-03-06T23:31:38Z
dc.date.available2020-03-06T23:31:38Z
dc.date.issued2019-07-01
dc.descriptionUID/EMS/00667/2019
dc.description.abstractThe energy management of virtual power plants faces some fundamental challenges that make it complicated compared to conventional power plants, such as uncertainty in production, consumption, energy price, and availability of network components. Continuous monitoring and scaling of network gain status, using smart grids provides valuable instantaneous information about network conditions such as production, consumption, power lines, and network availability. Therefore, by creating a bidirectional communication between the energy management system and the grid users such as producers or energy applicants, it will afford a suitable platform to develop more efficient vector of the virtual power plant. The paper is treated with optimal sizing of DG units and the price of their electricity sales to achieve security issues and other technical considerations in the system. The ultimate goal in this study to determine the active demand power required to increase system loading capability and to withstand disturbances. The effect of different types of DG units in simulations is considered and then the efficiency of each equipment such as converters, wind turbines, electrolyzers, etc., is achieved to minimize the total operation cost and losses, improve voltage profiles, and address other security issues and reliability. The simulations are done in three cases and compared with HOMER software to validate the ability of proposed model.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent1909375
dc.identifier.doi10.3390/app9142817
dc.identifier.issn2076-3417
dc.identifier.otherPURE: 16579200
dc.identifier.otherPURE UUID: 9c6e7afb-ef53-42d7-b8b5-91f5db613992
dc.identifier.otherScopus: 85077666282
dc.identifier.otherWOS: 000479026900045
dc.identifier.otherORCID: /0000-0003-1244-5624/work/205572164
dc.identifier.urihttp://hdl.handle.net/10362/93927
dc.identifier.urlhttps://www.scopus.com/pages/publications/85077666282
dc.language.isoeng
dc.peerreviewedyes
dc.subjectOperation
dc.subjectSizing
dc.subjectSmart grid
dc.subjectVirtual power plant
dc.subjectGeneral Materials Science
dc.subjectInstrumentation
dc.subjectGeneral Engineering
dc.subjectProcess Chemistry and Technology
dc.subjectComputer Science Applications
dc.subjectFluid Flow and Transfer Processes
dc.subjectSDG 7 - Affordable and Clean Energy
dc.titleEnergy management of virtual power plant considering distributed generation sizing and pricingen
dc.typejournal article
degois.publication.issue14
degois.publication.titleApplied Sciences
degois.publication.volume9
dspace.entity.typePublication
rcaap.rightsopenAccess

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