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dc.contributor.advisorLal Kolhe, Mohan
dc.contributor.authorRavibalan, Primiita
dc.date.accessioned2023-07-19T16:23:33Z
dc.date.issued2023
dc.identifierno.uia:inspera:143762890:99400889
dc.identifier.urihttps://hdl.handle.net/11250/3080228
dc.descriptionFull text not available
dc.description.abstractThis thesis investigates the performance and potential enhancements of battery energy storage systems (BESS) for frequency regulation, focusing on the integration of a Virtual Synchronous Generator (VSG) controller with the battery. The research involves analyzing the VSG-BESS model created in Matlab/Simulink and comparing its behavior with real operational data from Statkraft, a leading energy company. The results highlight the effectiveness of the VSG controller in improving frequency stabilization. The VSG-BESS model demonstrates responsive behavior by adjusting power output in response to frequency deviations. Although initial instances of overshoot and undershoot may arise, the system gradually attains stability, emphasizing the efficacy of the VSG controller and battery in regulating frequency. The comparison of the VSG-BESS model with real battery operational data from Statkraft confirms the model’s performance and practical value. The close correspondence between the model’s behavior and the observed data indicates its accuracy in capturing the dynamics of frequency regulation, enabling better design and optimization of BESS. In conclusion, this research highlights the significance of integrating VSG controllers with battery energy storage systems for effective frequency regulation. The insights derived from the study provide valuable guidance for future research and development projects aimed at improving the performance and efficiency of BESS. By actively responding to frequency deviations, BESS can play a crucial role in sustaining grid stability and ensuring efficient operation, contributing to the establishment of sustainable and reliable power grids.
dc.description.abstract
dc.language
dc.publisherUniversity of Agder
dc.titleOptimizing Grid Stability with Battery Energy Storage System Using Virtual Synchronous Generator Control
dc.typeMaster thesis


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