Study and Implementation of Micro PMU Using Embedded Controller

• Main Authors: Tien-Yen Yang, 楊典諺
• Other Authors: 劉志文
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/k5d8vq

碩士 === 國立臺灣大學 === 電機工程學研究所 === 105 === With the increasing use of nonlinear loads in power systems, the harmonic pollution and noise effect become more serious. Therefore, when detecting the frequency of the power system, it is necessary to filter out the noise. Many algorithms of frequency detection have been proposed and the Discrete Fourier Transform(DFT) algorithm is a powerful tool that can be used to accurately calculate the frequency in the power system. But DFT will still suffer a little noise effect. In order to solve this problem, this paper adopts the Smart Discrete Fourier Transform (SDFT). SDFT (Smart Discrete Fourier Transform) is used to improve the accuracy of the frequency detection. In the SDFT algorithm, the SDFT (Smart Discrete Fourier Transform) considering the number of window size to calculate the least square error, and calculate the frequency to solve the problem of noise effect. This paper will discuss the best number of window size to SDFT and the relationship between the precision and window size. This paper will apply SDFT algorithm in the Micro Phasor Measurement Unit (μPMU) to calculate the frequency of the power system and discusses the experimental results in the μPMU with different algorithms. In addition, the paper introduces the new function of μPMU, respectively, with GPS timestamp, IEEE1588 network timestamp and Taiwan-Wide Area Measurement System(T-WAMS) based on μPMU.