Research on power system small signal stability analysis and correction based on LightGBM algorithm.

Autor: Yang, Yude, Wang, Yijun, Zhang, Xiu
Předmět:
Zdroj: Electrical Engineering; Aug2024, Vol. 106 Issue 4, p4469-4486, 18p
Abstrakt: This paper proposes a method for the small signal stability analysis and correction of power system based on Light Gradient Boosting Machine (LightGBM). Taking the load power, branch power, and generator power as inputs, the minimum damping ratio is output to build the mapping relationship between input and output. A small signal stability analysis model is established to assess the minimum damping ratio of the system, and the influence of noise on the accuracy of assessment results is also considered. The damping ratio sensitivity of generator is estimated based on LightGBM method, and the approximate sensitivity optimization model of the generator damping ratio is established when the system is weakly damped. The outputs of generators are adjusted according to the optimization model to correct the minimum damping ratio to enhance the system's stability and finally estimate the modified minimum damping ratio by LightGBM algorithm. Test results on 3-machine 9-node and 10-machine 39-node systems indicate that the proposed method is hardly prone to over-fitting under noise interference with better robustness and could maintain better performance in assessing and correcting the small signal stability of the power system. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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