Broadband Oscillation Risk Prediction of New Energy Equipment in Distribution Network Based on Auxiliary Decision

With the wide application of new energy equipment in the distribution network, the risk of oscillation in the distribution network is intensified and the broadband oscillation is gradually developed. Therefore, this paper proposes a risk prediction technology of broadband oscillation based on auxiliary decision, which realizes the pre-alarm of broadband oscillation. Specifically, four indexes of disturbance energy, power factor angular impedance and power fluctuation are constructed, which are dynamically assigned weights and combined into risk values. By comparing the variation trend of three-phase voltage and current phase Angle, the other characteristics of electric gas are further explored. Combined with intensive statistics of power disturbance and impedance change analysis, the oscillation risk can be predicted effectively in advance. Finally, according to the proposed early warning principle, we can judge whether to give an early warning. In this paper, we verify the measured oscillation data of Guyuan case and the results show that the oscillation risk can be effectively predicted in advance, and the forecast amount can be further advanced by 2~3 min.