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Robust Control of Multiphase Induction Generator Equipped with Fuzzy Flywheel Energy Storage System

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Advanced Computational Techniques for Renewable Energy Systems (IC-AIRES 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 591))

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Abstract

Controlling wind generators has become a challenging task for those interested in this field to ensure adequate and stable energy for consumers, so they worked to create solutions to the problem of wind energy fluctuation, among these solutions a flywheel energy storage system, which has proven to be effective in helping the wind generators to contribute to the grid. The aim of this work is to improve the performance of a wind energy conversion system (WECS) based on dual star induction generator (DSIG) integrated with a flywheel energy storage system based on the squirrel cage induction machine (SCIM). A novel control based on a synergetic control (SC) combined with vector control applied on the FESS machine. On the other one, a powerful optimization method is proposed to tuning the values of SC parameters. The model of the system is simulated for different wind generator operating modes using Matlab–Simulink. The results show the good performance of the studied system.

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Correspondence to Kouzi Katia .

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Djamel, D., Katia, K. (2023). Robust Control of Multiphase Induction Generator Equipped with Fuzzy Flywheel Energy Storage System. In: Hatti, M. (eds) Advanced Computational Techniques for Renewable Energy Systems. IC-AIRES 2022. Lecture Notes in Networks and Systems, vol 591. Springer, Cham. https://doi.org/10.1007/978-3-031-21216-1_52

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