Design of neural network-based phasor measurement unit for monitoring of power system

Author

Cheng-I Chen ; Yeong-Chin Chen ; Yuan-Chieh Chin ; Hung-Lu Wang

Author_Institution

Dept. of Electr. Eng., Nat. Central Univ. Taoyuan, Jhongli, Taiwan

fYear

2014

fDate

22-24 Oct. 2014

Firstpage

45

Lastpage

48

Abstract

The synchronized measurement is important to the applications in power system. With the obtained power information, the conditions of power system can be easily realized, such as power quality, transient stability, and efficiency of energy usage, etc. In this paper, the design of phasor measurement unit for power system monitoring based on neural network is proposed. Through the experiment, the performance of proposed phasor measurement can be verified according to IEEE Std. C37.118-2005.

Keywords

fast Fourier transforms; neural nets; phasor measurement; power engineering computing; signal processing; DSP; FFT; digital signal processing; fast Fourier transform; neural network-based phasor measurement unit; power system monitoring; Estimation; Harmonic analysis; Industrial electronics; Neural networks; Power system harmonics; Synchronization; Training; Global positioning system (GPS); digital signal processor (DSP); neural network-based method; phasor measurement unit (PMU); synchronized measurement system;

fLanguage

English

Publisher

ieee

Conference_Titel

Granular Computing (GrC), 2014 IEEE International Conference on

Conference_Location

Noboribetsu

Type

conf

DOI

10.1109/GRC.2014.6982805

Filename

6982805