Power System Transient Stability Assessment Based on Stacked Autoencoders and Support Vector Machine

2018 3rd International Conference on Insulating Materials, Material Application and Electrical Engineering

材料科学;无线电电子学;电工学

Tang, Jingxuan^1 ; Sui, Huibin^1

School of Electrical Engineering, Shandong University, Shandong, China^1

关键词: Autoencoders;    High-accuracy;    Keypoints;    New England;    Power system transient stability assessment;    Stable operation;    Test systems;    Transient stability assessment;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/452/4/042117/pdf
DOI  :  10.1088/1757-899X/452/4/042117

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Transient stability assessment is the key point to ensure the safe and stable operation of the power system. Based on the data collected from the phasor measurement unit (PMU), a transient stability assessment method combining stacked automatic encoder (SAE) and support vector machine (SVM) is proposed. Multi-layer abstract learning is performed on the original features by the SAE, and the extracted feature is used to train the SVM and test. Simulation on the New England 39-bus test system show that the proposed model has high accuracy.