Please use this identifier to cite or link to this item: https://hdl.handle.net/10321/3471
DC FieldValueLanguage
dc.contributor.authorEstrice, Miltonen_US
dc.contributor.authorSharma, Gulshanen_US
dc.contributor.authorAkindeji, Kayode Timothyen_US
dc.contributor.authorDavidson, Innocent Ewaenen_US
dc.date.accessioned2020-09-07T10:59:53Z-
dc.date.available2020-09-07T10:59:53Z-
dc.date.issued2020-08-
dc.identifier.citationEstrice, M., Sharma, G., Akindeji, K. and Davidson, I. E. 2020. Application of AI for frequency normalization of solar PV-thermal electrical power system. Presented at: 2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD). Available: doi:10.1109/icabcd49160.2020.9183885en_US
dc.identifier.urihttp://hdl.handle.net/10321/3471-
dc.description.abstractGrid-connected solar-PV schemes have become a significant part of the energy balance in the power system to satisfy the growing request for clean, affordable energy. This study attempts to link solar-PV generation with conventional thermal power plants and to integrate the control zone resulting in a hybrid solar PV-thermal electric power system using an AC tie line. An analysis of the frequency dynamics for varying load conditions of the interconnected system is studied. Diverse approaches of proportional, integral, and proportional-integral fuzzy logic built controllers are design and tested in order to match the electric power with variable loads of the system and hence to normalize the frequency ofthe system in shortest possible time. A comparative analysis of the design topologies is conducted out for the PV-Thermal scheme. Results obtain from the implementation are shown to justify the performance of proposed control efforts, using MATLAB software toolen_US
dc.format.extent4 p.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectSolar PV-Thermalen_US
dc.subjectElectrical power systemen_US
dc.subjectFrequency dynamicsen_US
dc.subjectProportionalen_US
dc.subjectIntegralen_US
dc.subjectFLPI control.en_US
dc.titleApplication of AI for frequency normalization of solar PV-thermal electrical power systemen_US
dc.typeConferenceen_US
dc.date.updated2020-09-02T09:49:22Z-
dc.relation.conference2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD)en_US
dc.identifier.doi10.1109/icabcd49160.2020.9183885-
item.openairetypeConference-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.fulltextWith Fulltext-
Appears in Collections:Research Publications (Engineering and Built Environment)
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