Paper
25 April 2023 Research on new energy off-grid of DC transmission system caused by DC fault
Hao Cao, Xuhui Shen, Haiyan Tang, Yunting Song, Yafei Ding
Author Affiliations +
Proceedings Volume 12598, Eighth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2022); 125981A (2023) https://doi.org/10.1117/12.2673147
Event: Eighth International Conference on Energy Materials and Electrical Engineering (ICMEE 2022), 2022, Guangzhou, China
Abstract
With the increasing scale of long-distance DC transmission, new energy off grid accidents caused by DC faults occurs frequently. In order to ensure the safe and stable operation of the system, it is necessary to analyze the key factors leading to the disconnection of new energy. Therefore, firstly, the mechanism of transient overvoltage of new energy units caused by DC fault is analyzed. Then the restraining effect of reactive power equipment, electrical distance and other factors on transient overvoltage is simulated and analyzed, and the short-circuit ratio index to maintain the stable operation of the system is quantitatively analyzed according to the disconnection of new energy. Finally, based on the analysis results, the strategy of restraining new energy off grid is proposed, and verified by a planned DC transmission system. The results show that the transient voltage rise can be suppressed by increasing the short-circuit capacity. According to the electrical distance between the new energy station and the converter station, reasonably formulating the short-circuit ratio index can assist the power grid planning and prevent the new energy off grid.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hao Cao, Xuhui Shen, Haiyan Tang, Yunting Song, and Yafei Ding "Research on new energy off-grid of DC transmission system caused by DC fault", Proc. SPIE 12598, Eighth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2022), 125981A (25 April 2023); https://doi.org/10.1117/12.2673147
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KEYWORDS
Power grids

Failure analysis

Wind energy

Systems modeling

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