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

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

doi:10.1109/GRC.2014.6982805

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

Cheng I. Chen, Yeong Chin Chen, Yuan Chieh Chin, Hung Lu Wang

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

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.

Original language	English
Title of host publication	Proceedings - 2014 IEEE International Conference on Granular Computing, GrC 2014
Editors	Yasuo Kudo, Shusaku Tsumoto
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	45-48
Number of pages	4
ISBN (Electronic)	9781479954643
DOIs	https://doi.org/10.1109/GRC.2014.6982805
State	Published - 11 Dec 2014
Event	2014 IEEE International Conference on Granular Computing, GrC 2014 - Hokkaido, Japan Duration: 22 Oct 2014 → 24 Oct 2014

Publication series

Name	Proceedings - 2014 IEEE International Conference on Granular Computing, GrC 2014

Conference

Conference	2014 IEEE International Conference on Granular Computing, GrC 2014
Country/Territory	Japan
City	Hokkaido
Period	22/10/14 → 24/10/14

Keywords

digital signal processor (DSP)
Global positioning system (GPS)
neural network-based method
phasor measurement unit (PMU)
synchronized measurement system

Access to Document

10.1109/GRC.2014.6982805

Cite this

Chen, C. I., Chen, Y. C., Chin, Y. C., & Wang, H. L. (2014). Design of neural network-based phasor measurement unit for monitoring of power system. In Y. Kudo, & S. Tsumoto (Eds.), Proceedings - 2014 IEEE International Conference on Granular Computing, GrC 2014 (pp. 45-48). Article 6982805 (Proceedings - 2014 IEEE International Conference on Granular Computing, GrC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GRC.2014.6982805

Chen, Cheng I. ; Chen, Yeong Chin ; Chin, Yuan Chieh et al. / Design of neural network-based phasor measurement unit for monitoring of power system. Proceedings - 2014 IEEE International Conference on Granular Computing, GrC 2014. editor / Yasuo Kudo ; Shusaku Tsumoto. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 45-48 (Proceedings - 2014 IEEE International Conference on Granular Computing, GrC 2014).

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title = "Design of neural network-based phasor measurement unit for monitoring of power system",

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 = "digital signal processor (DSP), Global positioning system (GPS), neural network-based method, phasor measurement unit (PMU), synchronized measurement system",

author = "Chen, {Cheng I.} and Chen, {Yeong Chin} and Chin, {Yuan Chieh} and Wang, {Hung Lu}",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE International Conference on Granular Computing, GrC 2014 ; Conference date: 22-10-2014 Through 24-10-2014",

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Chen, CI, Chen, YC, Chin, YC & Wang, HL 2014, Design of neural network-based phasor measurement unit for monitoring of power system. in Y Kudo & S Tsumoto (eds), Proceedings - 2014 IEEE International Conference on Granular Computing, GrC 2014., 6982805, Proceedings - 2014 IEEE International Conference on Granular Computing, GrC 2014, Institute of Electrical and Electronics Engineers Inc., pp. 45-48, 2014 IEEE International Conference on Granular Computing, GrC 2014, Hokkaido, Japan, 22/10/14. https://doi.org/10.1109/GRC.2014.6982805

Design of neural network-based phasor measurement unit for monitoring of power system. / Chen, Cheng I.; Chen, Yeong Chin; Chin, Yuan Chieh et al.
Proceedings - 2014 IEEE International Conference on Granular Computing, GrC 2014. ed. / Yasuo Kudo; Shusaku Tsumoto. Institute of Electrical and Electronics Engineers Inc., 2014. p. 45-48 6982805 (Proceedings - 2014 IEEE International Conference on Granular Computing, GrC 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Design of neural network-based phasor measurement unit for monitoring of power system

AU - Chen, Cheng I.

AU - Chen, Yeong Chin

AU - Chin, Yuan Chieh

AU - Wang, Hung Lu

PY - 2014/12/11

Y1 - 2014/12/11

N2 - 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.

AB - 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.

KW - digital signal processor (DSP)

KW - Global positioning system (GPS)

KW - neural network-based method

KW - phasor measurement unit (PMU)

KW - synchronized measurement system

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BT - Proceedings - 2014 IEEE International Conference on Granular Computing, GrC 2014

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PB - Institute of Electrical and Electronics Engineers Inc.

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Chen CI, Chen YC, Chin YC, Wang HL. Design of neural network-based phasor measurement unit for monitoring of power system. In Kudo Y, Tsumoto S, editors, Proceedings - 2014 IEEE International Conference on Granular Computing, GrC 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 45-48. 6982805. (Proceedings - 2014 IEEE International Conference on Granular Computing, GrC 2014). doi: 10.1109/GRC.2014.6982805

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

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