- Title
- Grid impedance detection based on complex coefficient filter and full-order capacitor current observer for three-phase grid-connected inverters
- Creator
- Wang, Kaixin; Yang, Yong; Fan, Mingdi; Tang, Yuhang; Li, Haoyang; Chen, Rong; Hu, Jiefeng; Zeng, Weibo; Rodriguez, Jose
- Date
- 2023
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/194466
- Identifier
- vital:18367
- Identifier
-
https://doi.org/10.1109/TPEL.2022.3217126
- Identifier
- ISSN:0885-8993 (ISSN)
- Abstract
- This article proposes a new grid impedance detection method incorporating the complex coefficient filter (CCF) with full-order capacitor current observer for a T-type three-level grid-connected inverter controlled by the inverter output current feedback. Compared with conventional CCF impedance detection algorithms, the proposed method reduces the number of current sensors and detects the grid impedance accurately. First, based on the sampled inverter output current and grid-connected voltage signals, the grid-connected current is estimated. Then, the CCF method is used to extract harmonics from the grid-connected current and voltage signals to calculate the grid impedance. Finally, the correctness of the full-order capacitor current observer is verified by simulation and the feasibility and effectiveness of the proposed algorithm are verified experimentally based on a laboratory prototype. © 1986-2012 IEEE.
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Relation
- IEEE Transactions on Power Electronics Vol. 38, no. 2 (2023), p. 2408-2420
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2022 IEEE
- Subject
- 4008 Electrical engineering; 4009 Electronics, sensors and digital hardware; Complex coefficient filters (CCFs); Full-order capacitor current observer; Grid impedance detection
- Reviewed
- Funder
- This work was supported in part by the National Natural Science Foundation of China under Grants 51977136, 51907137, 52007127 and 52277062, in part by the Nature Science Youth Foundation of Jiangsu Province underGrant BK20220499 and in part by Projects FB0008, 1210208 and 1221293.
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