Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/8112
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dc.contributor.authorAwad, Abdalkarimen_US
dc.contributor.authorTumar, Iyaden_US
dc.contributor.authorHussein, Mohammeden_US
dc.contributor.authorGhanem, Waselen_US
dc.contributor.authorSa’ed, Jaser A.en_US
dc.date.accessioned2023-11-04T06:38:01Z-
dc.date.available2023-11-04T06:38:01Z-
dc.date.issued2017-
dc.identifier.urihttp://hdl.handle.net/20.500.11889/8112-
dc.description.abstractA large penetration of renewable energy sources (RES) characterizes the next generation power grid. Yet the intermittent nature of such resources introduces new challenges in the power grid. In this paper, we explore the employment of flywheels to smooth the output power of a fluctuating energy resource. We introduce an energy management approach that is based on moving average (MA) and linear programming (LP) to optimize the operation of the flywheel storage system to smooth the output of a PV system. The MA is tracked to reduce the fluctuation whereas optimization is used to find the optimal charging and discharging periods that takes into consideration the production forecast. The results demonstrate the ability of the approach to mitigate the output power fluctuation of a photovoltaic system.en_US
dc.language.isoen_USen_US
dc.subjectPhotovoltaic power systemsen_US
dc.subjectSmart power gridsen_US
dc.subjectFlywheel Storage Systemen_US
dc.subjectElectric power productionen_US
dc.subjectRenewable energy sourcesen_US
dc.titlePV output power smoothing using flywheel storage systemen_US
dc.typeArticleen_US
newfileds.departmentEngineering and Technologyen_US
newfileds.item-access-typeopen_accessen_US
newfileds.thesis-prognoneen_US
newfileds.general-subjectnoneen_US
item.grantfulltextopen-
item.languageiso639-1other-
item.fulltextWith Fulltext-
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