Control strategy for inverters under asymmetric voltage drops considering maximum voltage support capability

Junwei Huang; Guiying Liu

doi:10.1117/12.3033394

16 October 2024 Control strategy for inverters under asymmetric voltage drops considering maximum voltage support capability

Junwei Huang, Guiying Liu

Author Affiliations +

Proceedings Volume 13291, Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024); 132910B (2024) https://doi.org/10.1117/12.3033394
Event: Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024), 2024, Changchun, China

Abstract

In the case of asymmetric faults in the power grid, it is of great significance to allocate the inverter output reasonably to achieve voltage support, which helps reduce the risk of generator tripping and promote the stable operation of the system. This paper proposes a voltage support strategy considering the maximum support level under asymmetric voltage drops. Firstly, the voltage support equation considering zero-sequence voltage is established using the vector method, and the active power deficit point determination formula is proposed. Secondly, considering the voltage drop depth and inverter output limitations, the voltage support level coefficient is used to divide the scenarios, achieving the three control objectives of voltage support, maximum active power output, and reducing voltage imbalance. Finally, the effectiveness and superiority of the support equation and control strategy proposed in this paper are verified through simulations.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Junwei Huang and Guiying Liu "Control strategy for inverters under asymmetric voltage drops considering maximum voltage support capability", Proc. SPIE 13291, Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024), 132910B (16 October 2024); https://doi.org/10.1117/12.3033394

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