Open AccessParameter identification of subsynchronous oscillation based on FastICA and MP algorithms
Author(s) -
Li Kuan,
Zhang Wanjie,
Wang Hong,
Li Yudun,
Liu Meng
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.8685
Subject(s) - fastica , computer science , signal (programming language) , noise (video) , control theory (sociology) , algorithm , low frequency oscillation , benchmark (surveying) , independent component analysis , electronic engineering , power (physics) , artificial intelligence , electric power system , engineering , blind signal separation , telecommunications , control (management) , channel (broadcasting) , physics , geodesy , quantum mechanics , image (mathematics) , programming language , geography
The online identification of subsynchronous oscillation (SSO) became possible with a wide application of wide area measurement system. However, there is more power electronic equipment in the power system. So, there are strong interference noises in the sampled signal, and the veracity of vibration modal parameters is influenced. The fast independent component analysis (FastICA) could separate noise signal from the observed signal. This study presented the pretreatment of sampling signal through the FastICA and the identification of the SSO parameter through matrix pencil (MP). The recognition accuracy could be enhanced based on FastICA–MP. This study sets the ideal example and the IEEE first benchmark model as the simulation examples. The simulation results show that the FastICA could separate noise signal effectively, and the MP identification accuracy is improved. The research result lays the foundations for the design of supplementary subsynchronous damping controller.