The photovoltaic (PV) power station connected to the voltage source converter-based high voltage direct current (VSC-HVDC) system not only transmits power but also introduces the risk of oscillations. The existing small-signal stability (SSS) analysis methods typically simplify computational complexity by neglecting the dynamic differences between individual PV units in PV power stations. However
in practical systems
there are differences in active power output or control parameters of PV units
which may lead to errors in small-signal stability analysis results. Therefore
the impact of differences in active power output or phase-locked loop (PLL) control parameters of PV units
which are PLL-dominated
on SSS of the system is analyzed in the sub-synchronous frequency range. The results show that the differences in active power output or PLL control parameters of PV units may affect the position of dominant oscillation mode in complex plane
while the stability boundary is determined solely by the minimum and maximum values of corresponding parameters of all PV units. Therefore
an interval estimation method is proposed to predict the range of dominant oscillation modes of PV units under different active power outputs or control parameters
which enables rapid SSS assessment while considering the dynamic differences of PV units
and provides a reference for oscillation warning in practical systems. Finally
the effectiveness of the proposed method is validated through simulation examples.
Yinfeng WANG,Chao LU,Lipeng ZHU,Guoli ZHANG,Xiu LI,Ying CHEN.Comprehensive modeling and parameter identification of wind farms based on wide-area measurement systems[J].Journal of Modern Power Systems and Clean Energy,2016(03).