Optimization and parameter design for suppression strategy of low-frequency oscillation in the vehicle-network coupling system
In electrified railway operation, it is easy to result in low-frequency oscillation if the electrical parameters of the locomotive and the traction network are mismatched. This will not only hamper the power supply protection of the traction network, but also lead to blocking of the locomotive’s tra...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Electric Drive for Locomotives
2022-09-01
|
| Series: | 机车电传动 |
| Subjects: | |
| Online Access: | http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128X.2022.05.019 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | In electrified railway operation, it is easy to result in low-frequency oscillation if the electrical parameters of the locomotive and the traction network are mismatched. This will not only hamper the power supply protection of the traction network, but also lead to blocking of the locomotive’s traction system, posing severe threats to the safe operation of traction network and locomotive. To better suppress the oscillation, this paper presented an optimized oscillation suppression strategy and parameter design method. Firstly, after describing the equivalent circuit topology and control strategy of the vehicle-network system, a closed-loop small signal model of the system was modeled according to small signal theory. Then, on the basis of stability analysis, an optimized oscillation suppression method was proposed based on active damping control, aiming to improve the dynamic performance of the suppression strategy. As for the issue that excessively large coefficient for active damping control would influence the steady-state performance of the system, the minimum value of active damping control coefficient was determined according to Routh stability criterion. At last, the results of the test on time-domain simulation model verified the effectiveness of the optimized suppression method and the rationality of its parameter design. |
|---|---|
| ISSN: | 1000-128X |