傳統上電力事件的分析方法有很多種，例如檢測基頻的方法有零交越演算法(Zero crossing)、檢測諧波可使用快速傅立葉演算法(Fast Fourier Transform,FFT)等等。以快速傅立葉轉換為例，雖然簡單且計算速度快，若是訊號特性不符合FFT的使用限制，分析結果會受到洩漏效應與欄柵效應影響而產生誤差，雖然可以透過增加分析訊號取樣點數增加頻率解析度來改善，但會導致計算速度降低。
;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.