Research of the Application of Logistic Regression Method to Identify Whether the Wind Power Transmission System Generates Subsynchronous Oscillation
DANG Cunlu
LIU Shanshan
LI Xupeng
Abstract：The operating environment of the wind power transmission system is complex,and the power electronic equipment,wind speed size,and series complement degree may induce the power system to generate sub-synchronous oscillation(SSO).In this paper,a method using machine learning is proposed to predict whether a wind power transmission system will generate subsyn-chronous oscillation.First of all,the wind power transmission system model is created in the pscad simulation system,and then the data set is created by the created wind power transmission system model,the prediction system is written in python language,and the created data set is substituted into the prediction system for training.This paper creates a new set of test data to substitute into the trained system to get test results.It compares the results with those in pscad to verify the feasibility of the predictive system.The forecasting system operates in a simple environment,runs faster,and can predict multiple sets of data at the same time.
Keywords：machine learningsubsynchronous oscillationpredictive systemslogistic regression
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：7( 2614-2619,2625 )