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dc.contributor.authorBana, Prabhat Ranjan
dc.contributor.authorAmin, Mohammad
dc.date.accessioned2023-04-21T13:13:47Z
dc.date.available2023-04-21T13:13:47Z
dc.date.created2023-04-20T13:48:21Z
dc.date.issued2023
dc.identifier.isbn979-8-3503-3211-7
dc.identifier.urihttps://hdl.handle.net/11250/3064287
dc.description.abstractRecently, Artificial Neural Network (ANN)-based controllers have been extensively investigated for grid-connected VSC systems. Despite having several advantageous features, the black-box modelling of the ANN controller makes it less industry attractive. This paper reveals the working mechanism of the ANN current controller and its interaction with the VSC system through the small-signal modelling approach. The ANN controller is trained with the standard PI-controller data before deploying for testing. Afterward, state-space equations of the VSC system and ANN controller are derived to develop the small-signal model. The derived model is verified against the time-domain simulation results obtained from the non-linear MATLAB/Simulink model. The small-signal model is then utilised to study the stability of the system. The system and ANN controller behaviour are also studied by performing the participation factor and parametric sensitivity analysis to the small-signal model.en_US
dc.description.abstractState-space Modelling and Stability Analysis of ANN controller for Grid-connected VSC Systemen_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartof2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)
dc.relation.urihttps://ieeexplore.ieee.org/abstract/document/10087412
dc.titleState-space Modelling and Stability Analysis of ANN controller for Grid-connected VSC Systemen_US
dc.title.alternativeState-space Modelling and Stability Analysis of ANN controller for Grid-connected VSC Systemen_US
dc.typeChapteren_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber1-6en_US
dc.identifier.cristin2142189
dc.relation.projectNorges teknisk-naturvitenskapelige universitet: 81770920en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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