A Small-signal Probabilistic Stability Analysis Approach for Practical Power System Integrated with Wind Power

The randomness of wind power output leads to the uncertainty of power system operating point, which makes it difficult to accurately analyze small signal stability (SSS) of power systems integrated with wind farm. Thus a practical small-signal probabilistic stability analysis approach for power systems integrated with large-scale wind power is proposed. By taking BPA as key procedure for analyzing small-signal stability, the proposed analysis system is designed as a closed loop system, which consist of Matlab based Monte Carlo sampling procedure of wind power output, BPA interface procedure and results probability analysis procedure. The influence of wind power penetration amount, access point and the system accommodating mode on SSS is studied on IEEE 3 machine 9-bus system by using the proposed approach. Then the SSS analysis is tested on certain provincial grid in 2020 year to illustrate the validity and practicability of the proposed approach.