标题:Power System Transient Stability Assessment Based on Stacked Autoencoders and Support Vector Machine
作者:Tang, Jingxuan ;Sui, Huibin
通讯作者:Sui, Huibin
作者机构:[Tang, Jingxuan ;Sui, Huibin ] School of Electrical Engineering, Shandong University, Shandong, China
会议名称:2018 3rd International Conference on Insulating Materials, Material Application and Electrical Engineering, IMMAEE 2018
会议日期:September 15, 2018 - September 16, 2018
来源:IOP Conference Series: Materials Science and Engineering
出版年:2018
卷:452
期:4
DOI:10.1088/1757-899X/452/4/042117
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.
© 2018 Published under licence by IOP Publishing Ltd.
收录类别:EI
资源类型:会议论文
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