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3 results for “Data-driven control”
Data-Driven Control of Converters in DC Microgrids for Bus Voltage Regulation
<p>DDC_IECON2018</p> <p>Lisette Cupelli; Marco Cupelli; Antonello Monti</p> <p>Within the context of InterFlex project under GA 731289, a Data-Driven Control (DDC) framework for converter-interfaced Distributed Generators (DGs) in a Microgrid has been developed and compared with a non-linear Control technique i.e. Linearizing State Feedback (LSF) for bus voltage regulation. For further information, please refer to the respective publication: https://ieeexplore.ieee.org/document/8592812</p>
Data from: Hierarchical power control of a large-scale wind farm by using a data-driven optimization method
<p><span>With the participation in automatic generation control (AGC), a large-scale wind farm should distribute the real-time AGC signal to numerous wind turbines (WTs). This easily leads to an expensive computation for a high-quality dispatch scheme, especially considering the wake effect among WTs. To address this problem, a hierarchical power control (HPC) is constructed based on the geographical layout and electrical connection of all the WTs. Firstly, the real-time AGC signal of the whole wind farm is distributed to multiple decoupled groups in proportion of their regulation capacities. Secondly, the AGC signal of each group is distributed to multiple WTs via the data-driven surrogate-assisted optimization, which can dramatically reduce the computation time with a small number of time-consuming objective evaluations. Besides, a high-quality dispatch scheme can be acquired by the efficient local search based on the dynamic surrogate. The effectiveness of the proposed technique is thoroughly verified with different AGC signals under different wind speeds and directions.</span></p>
Data from: Hierarchical power control of a large-scale wind farm by using a data-driven optimization method
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