Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/18091
Title: | LQR-Based Adaptive Virtual Synchronous Machine for Power Systems With High Inverter Penetration | Authors: | Markovic, Uros Chu, Zhongda Aristidou, Petros Hug, Gabriela |
Major Field of Science: | Engineering and Technology | Field Category: | Electrical Engineering - Electronic Engineering - Information Engineering | Keywords: | Swing equation;Adaptive control;Linear-quadratic regulator (LQR);Virtual synchronous machine (VSM);Voltage source converter (VSC) | Issue Date: | 1-Jul-2019 | Source: | IEEE Transactions on Sustainable Energy, 2019, vol.10, no. 3, pp. 1501-1512 | Volume: | 10 | Issue: | 3 | Start page: | 1501 | End page: | 1512 | Journal: | IEEE Transactions on Sustainable Energy | 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. | ISSN: | 19493029 | DOI: | 10.1109/TSTE.2018.2887147 | Rights: | IEEE | Type: | Article | Affiliation : | ETH Zurich Leeds University |
Appears in Collections: | Άρθρα/Articles |
Files in This Item:
File | Description | Size | Format | |
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manuscript.pdf | 4.53 MB | Adobe PDF | View/Open |
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