Based On Facing The Development Of Monitoring The Software Of Quality Of Electric Energy Of Targat Technology

This thesis focuses on describing the importance of the power quality measurement and control. It summarizes the status quo of study today, and also analyses and compares the advantage and disadvantage of several analytic methods of the power quality. The principle diagram of power quality monitoring in the thesis can monitor and classify almost all of the important problems of power quality. Matlab simulating is used to aim at correlative problems of power quality. The simulation results show that the transient and non-stationary signal can be detected and classified using wavelet transform, which can also used in denoising and filtering. The discrete Fourier transform algorithm can analyze time-domain's stationary disturbance signal effectively and confirm the signal's distributing in the frequency domain. So it is effective to analyze and detect stationary and non-stationary disturbance by the integration of the above two methods. Simulation has been done through Matlab in tlvs thesis. A new algorithm of power quality measw-ement is put forward. The future trends of power quality are discussed. This thesis also brings forward the method of power quality measurement, i.e. the integration of WT (Wavelet Transform), FFT (Fast Fourier Transform) and ANN (Artificial Neural Network).