Huo, Yanda, Li, Peng, Ji, Haoran, Yu, Hao, Yan, Jinyue, Wu, Jianzhong  ORCID: https://orcid.org/0000-0001-7928-3602 and Wang, Chengshan
2023.
Data-driven coordinated voltage control method of distribution networks with high DG penetration.
IEEE Transactions on Power Systems
38
(2)
, pp. 1543-1557.
10.1109/TPWRS.2022.3172667
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Abstract
The highly penetrated distributed generators (DGs) aggravate the voltage violations in active distribution networks (ADNs). The coordination of various regulation devices such as on-load tap changers (OLTCs) and DG inverters can effectively address the voltage issues. Considering the problems of inaccurate network parameters and rapid DG fluctuation in practical operation, multi-source data can be utilized to establish the data-driven control model. In this paper, a data-driven coordinated voltage control method with the coordination of OLTC and DG inverters on multiple time-scales is proposed without relying on the accurate physical model. First, based on the multi-source data, a data-driven voltage control model is established. Multiple regulation devices such as OLTC and DG are coordinated on multiple time-scales to maintain voltages within the desired range. Then, a critical measurement selection method is proposed to guarantee the voltage control performance under the partial measurements in practical ADNs. Finally, the proposed method is validated on the modified IEEE 33-node and IEEE 123-node test cases. Case studies illustrate the effectiveness of the proposed method, as well as the adaptability to DG uncertainties.
| Item Type: | Article |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Engineering |
| Publisher: | Institute of Electrical and Electronics Engineers |
| ISSN: | 0885-8950 |
| Date of First Compliant Deposit: | 20 July 2022 |
| Date of Acceptance: | 30 April 2022 |
| Last Modified: | 03 Dec 2024 19:45 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/151225 |
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