Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/115949
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Building Environment and Energy Engineering | - |
| dc.creator | Wang, Q | - |
| dc.creator | Yeung, C | - |
| dc.creator | Zhou, Q | - |
| dc.creator | Ding, Y | - |
| dc.creator | Du, Y | - |
| dc.creator | Jia, L | - |
| dc.creator | Zhang, S | - |
| dc.date.accessioned | 2025-11-18T06:48:25Z | - |
| dc.date.available | 2025-11-18T06:48:25Z | - |
| dc.identifier.issn | 0142-0615 | - |
| dc.identifier.uri | http://hdl.handle.net/10397/115949 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier Ltd | en_US |
| dc.rights | © 2025 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by- nc/4.0/). | en_US |
| dc.rights | The following publication Wang, Q., Yeung, C., Zhou, Q., Ding, Y., Du, Y., Jia, L., & Zhang, S. (2025). Equivalent wide bandwidth transformer modeling using physics-consistent error compensation model. International Journal of Electrical Power & Energy Systems, 170, 110817 is available at https://doi.org/10.1016/j.ijepes.2025.110817. | en_US |
| dc.subject | Deep learning | en_US |
| dc.subject | Physics-consistent model | en_US |
| dc.subject | Power system | en_US |
| dc.subject | Wide bandwidth transformer | en_US |
| dc.title | Equivalent wide bandwidth transformer modeling using physics-consistent error compensation model | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.volume | 170 | - |
| dc.identifier.doi | 10.1016/j.ijepes.2025.110817 | - |
| dcterms.abstract | Wide bandwidth transformer modeling has been a critical part in the power system. However, achieving a balance between modeling accuracy and computational efficiency remains a significant challenge. To address this, the present study introduces a novel physics-consistent error compensation model (PCEC), which integrates a data reconstruction module, an adaptive parameter generation module, and an error compensation module. First, the data reconstruction module effectively denoises the input signals. The processed data are then utilized to generate RLC model parameters, incorporating time-varying physical properties into the PCEC framework. Meanwhile, the same data are re-parameterized and used as input to the error compensation module, which corrects deviations in the RLC model. To ensure the reliability of PCEC, a field experiment is conducted to gather essential voltage data. The effectiveness of the proposed model is validated through three analytical experiments, while the importance of individual modules is further demonstrated through two ablation studies. | - |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | International journal of electrical power and energy systems, Sept 2025, v. 170, 110817 | - |
| dcterms.isPartOf | International journal of electrical power and energy systems | - |
| dcterms.issued | 2025-09 | - |
| dc.identifier.scopus | 2-s2.0-105010227469 | - |
| dc.identifier.eissn | 1879-3517 | - |
| dc.identifier.artn | 110817 | - |
| dc.description.validate | 202511 bcch | - |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | This work was supported by the China Southern Power Grid, China under Grant GZKJXM20222352. | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | CC | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 1-s2.0-S0142061525003655-main.pdf | 2.7 MB | Adobe PDF | View/Open |
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