| Abstract: |
| Since the effectiveness of the flexible current arc suppression method heavily relies on the accurate measurement of the distribution line-to-ground parameters, the suppression of single line-to-ground (SLG) fault current may deteriorate due to factors such as line switching and other disturbances during SLG fault arc suppression. Additionally, during SLG fault arc suppression, promptly identifying the fault type and rapidly deactivating the flexible arc suppression device (FASD) can reduce the overvoltage risk in non-faulted phase devices. To address these issues, this paper presents a parameter identification method based on recursive least squares (RLS) while a variable forgetting factor strategy is introduces to enhance the RLS algorithm's disturbance rejection capability. Simulations verify that the variable forgetting factor recursive least squares (VFF-RLS) algorithm can accurately identify distribution line-to-ground parameters in real time and effectively suppress SLG fault current. The online identification of grounding transition conductance is simultaneously used to determine the fault type and quickly detect when the SLG fault has been cleared. |
| Key words: Distribution networks, single line-to-ground fault arc suppression, line-to-ground parameters grounding transition conductance, recursive least square method, online identification. |
| DOI：10.23919/PCMP.2024.000174 |
|
| Fund:This work is supported in part by the National Natural Science Foundation of China (No. 51677030) and in part by the Natural Science Foundation of Fujian Province, China (No. 2023J05106). |
|
