Splitting state-space method for converter-integrated power systems EMT simulations

Fu, Xiaopeng, Wu, Wei, Li, Peng, Mahseredjian, Jean, Wu, Jianzhong ORCID: https://orcid.org/0000-0001-7928-3602 and Wang, Chengshan 2024. Splitting state-space method for converter-integrated power systems EMT simulations. IEEE Transactions on Power Delivery 40 (1) , pp. 584-595. 10.1109/tpwrd.2024.3514294

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Abstract

As the utilization of power electronic-based components in power systems continues to grow, a comprehensive understanding of their dynamics becomes increasingly important for system design, control and protection analysis. To meet practical needs, the high-fidelity but time-consuming electromagnetic transient (EMT) simulations are often required. To improve the performance of these simulations, a highly efficient splitting state-space method with numerical error control is proposed that reduces the computation workload. The method employs a generic decoupling principle to split the state-space equations of the converter-integrated power system and introduces the exponential splitting formulas of multiple orders accuracy to solve and then compose the splitting state-space equations. The decoupling principle is designed based on separation of time-varying portions of the state matrix, which is realized by locating the smallest subcircuit topology that is switch state-dependent, through automatic switch grouping and switch adjacent state variables (SASV) identification. A family of exponential splitting schemes is employed to accelerate the demanding matrix exponential calculation. The splitting state-space method undergoes comprehensive testing across various cases, including a distribution network with DC load, an LLC resonant converter, a large-scale wind farm, and an MMC circuit. The accuracy of the proposed method is thoroughly evaluated, and its efficiency is validated.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Engineering
Additional Information:	License information from Publisher: LICENSE 1: URL: https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html, Start Date: 2024-01-01
Publisher:	Institute of Electrical and Electronics Engineers
ISSN:	0885-8977
Funders:	National Key R&D Program of China, National Natural Science Foundation of China
Date of First Compliant Deposit:	6 February 2025
Date of Acceptance:	16 November 2024
Last Modified:	06 Feb 2025 12:00
URI:	https://orca.cardiff.ac.uk/id/eprint/175068

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