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Title
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Robust Optimal Frequency Response Enhancement Using Energy Storage-Based Grid-Forming Converters
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Type
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JournalPaper
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Keywords
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energy storage systems; grid-forming converters; frequency support; robust control; Kharitonov theorem; optimal tuning; Bayesian optimization
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Abstract
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To enhance frequency and active power control performance, this research proposes a decentralized robust optimal tuning approach for power grid frequency regulation support using energy storage systems (ESSs) as the primary source of grid-forming (GFM) converters. The proposed approach employs the robust Kharitonov theory to find a family of stabilizing sets of a proportional integral (PI)-based supplementary controller, which is used in the outer control layer of the GFM control system. A family of stabilizing parameter sets is found in the presence of system uncertainties and disturbances that are common in power grid operation. Then, using a developed Bayesian optimization algorithm, an optimal set of parameters is determined among the mentioned family member sets. The proposed sophisticated combination of a robust control theorem and an optimization algorithm provides a promising solution for the robust and optimal tuning of control system parameters in ESS-based GFM converters. The efficacy of the proposed method is demonstrated via simulation and laboratory real-time experiment results for a given detailed case study.
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Researchers
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Toshiji Kato (Not In First Six Researchers), Takeyoshi Kato (Fifth Researcher), Chiyori T. Urabe (Fourth Researcher), Hadi TARIMORADI (Third Researcher), Hassan Bevrani (Second Researcher), Sharara Rehimi (First Researcher)
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