Fault diagnosis of nuclear power plant based on phase-mode transformation approach

Abstract

In this paper, a phase selection method for classifying ten types of short-circuit faults in nuclear power plant is proposed. This method can quickly and accurately realize the short-circuit faults phase selection of nuclear power plant. Different from the conventional phase-mode transformation to the unmeasurable current fault components as the data source, the current fault components of measurable nodes herein as a data source. First of all, the amplitude and phase relationship between the current fault components at the measurable nodes and the unmeasurable current fault components at the fault points are compared by simulation. Secondly, the basis for phase selection is obtained by analyzing the boundary conditions of various short-circuit faults. Thirdly, the adverse effect of the noise of the measurable current fault component on the accuracy of fault selection is eliminated by Fourier transform, and the accuracy of fault phase selection is improved. In this paper, the MATLAB simulation verification is carried out through the IEEE13 nodes test feeder, which can well realize the short-circuit faults phase selection of the nuclear power plant. This method takes the current fault components at measurable nodes as the data source and can be applied in the actual nuclear power plant of power systems.