基于改进鲁棒主成分分析的风火打捆系统次同步振荡溯源方法OA

The integration of large-scale wind farms into the grid leads to subsynchronous oscillation events,which poses a consistent threat to the safety and stability of the power system.The accurate location of the oscillation source plays an important role in mitigating oscillations.Therefore,in this paper we introduce a synchrophasor data-driven method for the localization of forced subsynchronous oscillation.Firstly,we derive the analytical expression for the oscillation within thermal power units caused by subsynchronous harmonic disturbance in the wind power grid-connected system.Subsequently,the low-rank characteristic matrices are constructed for forced subsynchronous oscillation components.On this basis,the sparse weights of self-augmentation and robust principal component analysis are combined to extract the main features of forced subsynchronous oscillation and achieve accurate localization in the wind-thermal bundled system.Finally,a three-machine system and an IEEE 39-node system are constructed to verify the improved robust principal component analysis on PSCAD/EMTDC.The simulation results demonstrate that the improved robust principal component analysis can intuitively locate the source of forced subsynchronous oscillation in the absence of grid topology information.