Synthetic fault factor features under Weibull stochastic interference

• One has put forward two types of fault factor features extraction schemes.
• On the basis of these two schemes, one can realize accurate and reliable fault identification.
• The research has direct and practical significance for promoting large-scale exploitation and utilization of wind energy.
• The proposed fault factor features extraction schemes will contribute to the future construction of smart grid.

Wind power is a rich, widespread and renewable energy, it is also one of the vitally important alternative energies. Wind power belongs to the renewable energy without pollution, and the power generation by wind can reduce harmful gas released from conventional power generation process with mineral fuel, and then decrease the development of greenhouse effect and acid rain. The wind power has been greatly developed in the global scope with maturing wind power techniques, and will maintain persistent growing. The development and utilization of renewable energy resources is the future development direction. In this paper, taking full account of the fluctuation and unpredictability of wind power, one will put forward two types of fault factor features extraction schemes, fault feature I: Factor coefficients and fault feature II: Factor scores, on the basis of these two schemes, one can realize accurate and reliable fault identification. The research in this paper has direct and practical significance for promoting the large-scale exploitation and utilization of wind energy. And the proposed fault factor features extraction schemes will contribute to the future construction of smart grid.