Design of Neural Network-Based Phasor Measurement Unit for Monitoring of Power System

被引：0
|
作者：
Chen, Cheng-I [1 ]
Chen, Yeong-Chin [2 ]
Chin, Yuan-Chieh [3 ]
Wang, Hung-Lu [4 ]
机构：
[1] Natl Cent Univ, Dept Elect Engn, Taoyuan, Taiwan
[2] Asia Univ, Dept Comp Sci & Informat Engn, Taichung, Taiwan
[3] Chien Kuo Technol Univ, Dept Elect Engn, Changhua, Taiwan
[4] BSMI Minist, Elect Inspect Dept, Taichung, Taiwan
来源：
2014 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING (GRC) | 2014年
关键词：
Global positioning system (GPS); phasor measurement unit (PMU); digital signal processor (DSP); synchronized measurement system; neural network-based method; GENERATION;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：45 / 48
页数：4
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