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dc.contributor.authorManoharan, S.-
dc.contributor.authorGnanambal, K.-
dc.date.accessioned2024-09-20T07:28:37Z-
dc.date.available2024-09-20T07:28:37Z-
dc.date.issued2020-
dc.identifier.citationManoharan, S.; Gnanambal, S.: Online monitoring of maximum allowable load at different buses using ABC algorithm and artificial neural network. Timişoara: Editura Politehnica, 2020.en_US
dc.identifier.issn1582-4594-
dc.identifier.urihttps://dspace.upt.ro/xmlui/handle/123456789/6623-
dc.description.abstractThe power demand is increasing day by day. It is essential to determine the maximum load that can be imposed at each load bus. The maximum allowable load is the maximum load that can be applied at different load buses without violating the voltage at these buses. In this paper, the maximum loadability limit that can be imposed at different buses of power system is determined by using Artificial Bee Colony algorithm (ABC). The loadability limit is calculated with and without line outages. The results obtained using the proposed hybrid algorithm is compared with the results obtained by existing algorithms. Even though the algorithm provides better results than the existing algorithms, it cannot be applied for on line application. For online monitoring and loading, Artificial Neural Network (ANN) is used. The trained ANN is used for the online monitoring of the buses. The proposed work is validated by testing on IEEE30 bus system.en_US
dc.language.isoenen_US
dc.publisherTimișoara : Editura Politehnicaen_US
dc.relation.ispartofseriesJournal of Electrical Engineering;Vol 20 No 3-
dc.subjectMaximum allowable loaden_US
dc.subjectArtificial Bee Colony (ABC)en_US
dc.subjectArtificial Neural Network (ANN)en_US
dc.subjectSmart Griden_US
dc.titleOnline monitoring of maximum allowable load at different buses using ABC algorithm and artificial neural network [articol]en_US
dc.typeArticleen_US
Appears in Collections:Articole științifice/Scientific articles

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