Robust Adaptive Back-Stepping Control Approach Using Quadratic Lyapunov Functions for MMC-Based HVDC Digital Twins

Conference Paper (2022)
Author(s)

L. Liu (TU Delft - Intelligent Electrical Power Grids)

Aleksandra Lekic-Vervoort (TU Delft - Intelligent Electrical Power Grids)

M Popov (TU Delft - Intelligent Electrical Power Grids)

Research Group
Intelligent Electrical Power Grids
Copyright
© 2022 L. Liu, A. Lekić, M. Popov
DOI related publication
https://doi.org/10.1007/978-3-031-19762-8_9
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 L. Liu, A. Lekić, M. Popov
Research Group
Intelligent Electrical Power Grids
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Pages (from-to)
126-138
ISBN (print)
9783031197611
Reuse Rights

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Abstract

Due to its excellent performance, VSC-based high voltage direct current (HVDC) power systems draw significant attention. They are being heavily used in modern industrial applications, such as onshore and offshore wind farms, and for interconnection between asynchronous networks. However, the traditional proportional-integral (PI) control method is not robust enough to track the reference signal quickly and accurately during significant system disturbances. This paper proposes a robust adaptive back-stepping control (BSC) method that secures vulnerable power-electronic equipment. The adaptive BSC controller regulates the sum of capacitor energy, and the AC grid current through decoupled and closed control-loop design. The major advantage of the proposed control approach is the smooth transient response and accurate tracking ability, which is superior to classical control methods. In addition, the proposed methods have the merits of systematic and recursive design methodology and demand a low processing burden for Lyapunov functions and control laws. Moreover, the implementation particularities of the proposed approach are illustrated and verified for a power system digital twin using real-time digital simulator (RTDS).

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