Details

Autor(en) / Beteiligte

• Jianbiao Li
• Tingxi Sun
• Jia Tan
• Dan Ma
• Yizhi Fang
• Sima Wenxia
• Ming Yang
• Daixiao Peng

Titel

Ferroresonance overvoltage features extraction using nonlinear analytical technique

Ist Teil von

• 2016 IEEE International Conference on High Voltage Engineering and Application (ICHVE), 2016, p.1-4

Ort / Verlag

IEEE

Erscheinungsjahr

2016

Quelle

IEEE/IET Electronic Library (IEL)

Beschreibungen/Notizen

• Ferroresonance is complicated phenomenon for its various modes. In this paper, two nonlinear features are extracted based on nonlinear analytical Technique. The features can be used to analyze the motion characteristics of the ferroresonance system of the overvoltage time series. The study on overvoltage acquired from a power substation shows that the feature is very useful for ferroresonance mode identification, especially for the quasi-periodical ferroresonance and chaotic ferroresonance.