Power System Transient Stability Assessment Based on CK-means and CatBoost Algorithm
ZHANG Yi
FAN Jing
QU Jinshuai
XIAO Yunbo
QIAO Yubin
Abstract：Considering that unstable data samples are far less than stable data samples in the power system,this paper first proposes a data decomposition method based on Canopy and K-means algorithm to decompose stable and unstable samples to allevi-ate the impact of data imbalance on the evaluation effect.Secondly,CatBoost algorithm is used to evaluate the transient stability of the decomposed data.A New England 10-machine 39-node system is simulated and compared with other findings in terms of accura-cy and recall rate.The proposed method has certain advantages.At the same time,considering the actual configuration of synchro-nous phasor measurement unit(PMU),the evaluation effect of the algorithm under different PMU installation number is tested.Compared with the traditional method,the proposed method is less affected by the reduction of PMU number.
Keywords：data imbalanceCatBoosttransient stability assessmentPMU placement
Publication Date：2024-09-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 2566-2571 )