Research On Morphological Wavelet And Its Application In Signal Processing In Power System

Signal processing technologies are becoming new useful tools in the research of powersystem automation due to the rapid development of these technologies. In these technologies,Fourier transform and wavelet transform, et al, have been used extensively in signal processingin power system. However, because of the complecity of signals to be processed, there are manydeficiencies in the existing signal processing technologies. To overcome deficiencies of existingsignal processing technologies, this paper focus on the research of morphological wavelet andits applications in signal processing in power system.Firstly, this paper introduces the concepts of MMLS and GMOCW. Then, this paper dis-cusss the application of MMLS and GMOCW in the detection of power disturbances, and theapplication of MMLS in the detection of induction motor stator inter-turn short circuit. A vari-ety of simulation studies, experimental researches and comparison analyses were conducted tovalidate the effective and feasibility of these proposed detection algorithms. The results of sim-ulation studies, experimental researches and comparison analyses proved that the morphologicalwavelet algorithms can overcome the deficiencies of traditional signal processing technologiesin calculation burden, anti-noise performance and complexity, et al.Nowadays, there are many achievements in the detection of induction motor stator inter-turn short circuit and power disturbances. However, because of the complecity of the runningstate of power system, there are mang deficiencies in the existing detection methods. Based ona basic understand of induction motor stator inter-turn short circuit and power disturbance, thispaper applies MMLS for the identification of stator inter-turn short circuit and power distur-bances. Regarding to the present deficiencies of morphological wavelet in power disturbancedetection, this paper proposes a new technique, GMOCW, based on which a power disturbanceidentification scheme is developed.Firstly, analyse the impact of power disturbances and induction motor stator inter-turn shortcircuit on the voltages or currents of primary sides of power system.Secondly, establish induction motor transient model based on MATLAB and micro powersystem model based on PSCAD/EMTDC, respectively. Induction motor transient model will beused to simulate induction motor stator inter-turn short circuit. Micro power system model willbe used to simulated various power disturbances.Thirdly, detect induction motor stator inter-turn short circuit and power disturbance usingMMLS, and identify power disturbance applying MMLS and GMOCW, respectively.Lastly, verify GMOCW in power disturbance detection using data obtained from the estab-listhed power disturbance experiment platform.