Please use this identifier to cite or link to this item: http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/9188
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dc.contributor.authorVinothine, S.-
dc.contributor.authorWidanagama Arachchige, L.N.-
dc.contributor.authorRajapakse, A. D.-
dc.contributor.authorRoshani, K.-
dc.date.accessioned2023-02-20T07:10:03Z-
dc.date.available2023-02-20T07:10:03Z-
dc.date.issued2022-
dc.identifier.citationVinothine, S.; Widanagama Arachchige, L.N.; Rajapakse, A.D.; Kaluthanthrige, R. Microgrid Energy Management and Methods for Managing Forecast Uncertainties. Energies 2022, 15, 8525. https:// doi.org/10.3390/en15228525en_US
dc.identifier.urihttp://repo.lib.jfn.ac.lk/ujrr/handle/123456789/9188-
dc.description.abstractThe rising demand for electricity, economic benefits, and environmental pressures related to the use of fossil fuels are driving electricity generation mostly from renewable energy sources. One of the main challenges in renewable energy generation is uncertainty involved in forecasting because of the intermittent nature of renewable sources. The demand also varies according to the time of day, the season, the location, the climate, and the availability of resources. Microgrids offer a potential solution for the integration of small-scale renewable energy sources and loads along with energy storage systems and other non-renewable sources. However, intermittent generation and varying demand need to be matched to provide stable power to consumers. Therefore, it is crucial to design an energy management system to effectively manage the energy sources and supply loads for reliable and efficient operation. This paper reviews different techniques proposed in the literature to achieve the objectives of a microgrid energy management system. The benefits of existing energy management systems and their challenges are also discussed. The challenges associated with uncertainties and methods to overcome them are critically reviewed.en_US
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.subjectEnergy managementen_US
dc.subjectForecast uncertaintiesen_US
dc.subjectMicrogridsen_US
dc.subjectOptimizationen_US
dc.subjectRenewable energy integrationsen_US
dc.titleMicrogrid Energy Management and Methods for Managing Forecast Uncertaintiesen_US
dc.typeArticleen_US
Appears in Collections:Electrical & Electronic Engineering

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