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: | 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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