An Improved Q-Axis Current Control to Mitigate the Low-Frequency Oscillation in a Single-Phase Grid-Connected Converter System

Kai Wei, Changjun Zhao and Yi Zhou ()
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Kai Wei: Gansu Electric Power Company Marketing Division, Lanzhou 730000, China
Changjun Zhao: Gansu Electric Power Company Marketing Division, Lanzhou 730000, China
Yi Zhou: School of Electrical Engineering, Sichuan University, Chengdu 610065, China

Energies, 2023, vol. 16, issue 9, 1-14

Abstract: An electric railway system is a typical single-phase grid-connected converter system, and the low-frequency oscillation (LFO) phenomenon in electric railway systems has been widely reported around the world. Previous research has indicated that the LFO is a small-signal instability issue caused by impedance mismatching between the traction network system and electric trains. Therefore, this paper proposes an improved q-axis current control method to reshape the train’s impedance. The proposed method can be implemented easily by relating a reverse q-axis reactive current directly to the reference of the q-axis current under the dq current decoupled control. Moreover, considering the additional q-axis reactive current control, a small-signal impedance model of a train–network system is built. The impedance-based analysis results indicate that the proposed q-axis reactive current feedback control can increase the magnitude of the train’s impedance, which is beneficial to enhancing the system’s stability. Finally, this paper employs experimental results to verify the effectiveness of the proposed method.

Keywords: electric railway system; low-frequency oscillation; small-signal impedance model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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