| dc.description.abstract | With the development of smart grid, the effective detection and identification of voltage variation events become important tasks for the protection of microgrid and power system monitoring integrated different distributed energy systems. When power quality events happened, these events usually caused large losses in commercial and industrial consumers are the main events in power systems due to the sensitivity of equipment to these voltage variations. In addition, in recent years, the widely applications of power electronics technique, and the amount of non-linear loads increased on power system, harmonic problem become more important.
There are a lot of analysis methods in tradition. For example, Zero-crossing is used to analyze the fundamental frequency, Fast Fourier Transform is used to analyze the harmonics, etc. Take FFT for example, although the simple calculation procedure and the high computational efficiency are the advantages of FFT, there exist some limitations needed to meet. If it didn′t, the aliasing, the leakage effect, and the picket-fence effect may occur. Though It could increase the sampling points to improve the frequency resolution, it will deteriorate the computational efficiency.
The keypoint of this thesis is high resolution, great efficacy and including analysis of multiple power events. According to aforementioned considerations, Prony method is used and plays an important role in analysis of power events. A SCADA of power quality events is developed. With advantages of multiple power events analysis, less limitation, better computational efficiency, power quality events can be detected correctly and activate the protection or compensation devices avoiding damage of power system.
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