Bibliographic Details
| Title: |
Analytical DC-side stabilizing conditions for hybrid HVDC links based on dominant frequency model reduction |
| Authors: |
Jiapeng Li, Yujun Li, Minghao Wang, Shudan Wang, Zhao Xu, Guobing Song |
| Source: |
Energy Reports, Vol 9, Iss , Pp 806-818 (2023) |
| Publisher Information: |
Elsevier, 2023. |
| Publication Year: |
2023 |
| Collection: |
LCC:Electrical engineering. Electronics. Nuclear engineering |
| Subject Terms: |
Hybrid HVDC link, DC-side resonances, Analytical stabilizing conditions, Dominant mode, Model reduction, Electrical engineering. Electronics. Nuclear engineering, TK1-9971 |
| More Details: |
Incorporating the advantages of line commutated converters (LCCs) and voltage-source converters (VSCs), hybrid high voltage DC (HVDC) links have bright prospects in bulk power transmission. For this new technique, however, there is a risk of oscillatory instability in the DC link, and the mechanism behind the instability is still unclear. This paper derives analytical DC-side stabilizing conditions for hybrid HVDC links by using dominant frequency model reduction. The small-signal model of the LCC-VSC link is first truncated by reserving only the state variables highly relevant to the dominant mode so that the expression of the dominant oscillation frequency can be obtained. Dynamics of other state variables are reintroduced and then simplified while leaving their properties nearby the dominant frequency intact. Based on the reduced model, an analytical stability criterion is obtained, which reveals that the DC-side stability of hybrid HVDC links will deteriorate with reduced DC voltage operation, a heavy load, a small DC-link capacitor, slow inner loop dynamics, a small proportional and a large integral gain of the DC voltage regulator. In addition, simplified sufficient stabilizing conditions of hybrid HVDC links are further derived for control parameter design. Case studies validate the accuracy of dominant frequency model reduction and the derived stabilizing conditions. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2352-4847 |
| Relation: |
http://www.sciencedirect.com/science/article/pii/S235248472300464X; https://doaj.org/toc/2352-4847 |
| DOI: |
10.1016/j.egyr.2023.04.103 |
| Access URL: |
https://doaj.org/article/9f9dfb9567144bb0aa5bbdde7a140bd8 |
| Accession Number: |
edsdoj.9f9dfb9567144bb0aa5bbdde7a140bd8 |
| Database: |
Directory of Open Access Journals |
