LQR-Based Adaptive Virtual Synchronous Machine for Power Systems With High Inverter Penetration
Journal
IEEE Transactions on Sustainable Energy
Date Issued
July 1, 2019
DOI
10.1109/TSTE.2018.2887147
Abstract
This paper presents a novel virtual synchronous machine controller for converters in power systems with a high share of renewable resources. Using a linear quadratic regulator-based optimization technique, the optimal state feedback gain is determined to adaptively adjust the emulated inertia and damping constants according to the frequency disturbance in the system, while simultaneously preserving a tradeoff between the critical frequency limits and the required control effort. Two control designs are presented and compared against the open-loop model. The proposed controllers are integrated into a state-of-the-art converter control scheme and verified through electromagnetic transient (EMT) simulations.
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manuscript.pdf
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4.43 MB
Format
Adobe PDF
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