Optimal PMU Placement By Improved Particle Swarm Optimization

Zakir Hussain Rather; Leo Liu; Zhe Chen; Paul  Thøgersen

doi:10.1109/ISGT-Asia.2013.6698747

Optimal PMU Placement By Improved Particle Swarm Optimization

Zakir Hussain Rather, Leo Liu, Zhe Chen, Paul Thøgersen

AAU Energy

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

21 Citations (Scopus)

Abstract

This paper presents an improved method of binary particle swarm optimization (IBPSO) technique for optimal phasor measurement unit (PMU) placement in a power network for complete system observability. Various effective improvements have been proposed to enhance the efficiency and convergence rate of conventional particle swarm optimization method. The proposed method of IBPSO ensures optimal PMU placement with and without consideration of zero injection measurements. The proposed method has been applied to standard test systems like 17 bus, IEEE 24-bus, IEEE 30-bus, New England 39-bus, IEEE 57-bus system and large power systems of IEEE 118-bus, IEEE 300-bus system and Western Danish power system. The effectiveness of the proposed method has been verified by comparison of results with previous methods.

Original language	English
Title of host publication	Proceedings of the 2013 IEEE Innovative Smart Grid Technologies Conference - Asia (ISGT Asia)
Number of pages	6
Publisher	IEEE Press
Publication date	2013
ISBN (Print)	978-1-4799-1346-6 , 9781479913459
ISBN (Electronic)	978-147991347-3
DOIs	https://doi.org/10.1109/ISGT-Asia.2013.6698747
Publication status	Published - 2013
Event	Innovative Smart Grid Technologies Conference, ISGT Asia 2013 - Bangalore, India Duration: 10 Nov 2013 → 13 Nov 2013

Conference

Conference	Innovative Smart Grid Technologies Conference, ISGT Asia 2013
Country/Territory	India
City	Bangalore
Period	10/11/2013 → 13/11/2013

Keywords

PMU
Power system observability
Wide area measurement

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10.1109/ISGT-Asia.2013.6698747

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Cite this

@inproceedings{09aacee0ef1c402eb256916a135e8ac8,

title = "Optimal PMU Placement By Improved Particle Swarm Optimization",

abstract = "This paper presents an improved method of binary particle swarm optimization (IBPSO) technique for optimal phasor measurement unit (PMU) placement in a power network for complete system observability. Various effective improvements have been proposed to enhance the efficiency and convergence rate of conventional particle swarm optimization method. The proposed method of IBPSO ensures optimal PMU placement with and without consideration of zero injection measurements. The proposed method has been applied to standard test systems like 17 bus, IEEE 24-bus, IEEE 30-bus, New England 39-bus, IEEE 57-bus system and large power systems of IEEE 118-bus, IEEE 300-bus system and Western Danish power system. The effectiveness of the proposed method has been verified by comparison of results with previous methods.",

keywords = "PMU, Power system observability, Wide area measurement",

author = "Rather, {Zakir Hussain} and Leo Liu and Zhe Chen and Paul Th{\o}gersen",

year = "2013",

doi = "10.1109/ISGT-Asia.2013.6698747",

language = "English",

isbn = "978-1-4799-1346-6 ",

booktitle = "Proceedings of the 2013 IEEE Innovative Smart Grid Technologies Conference - Asia (ISGT Asia)",

publisher = "IEEE Press",

note = " Innovative Smart Grid Technologies Conference, ISGT Asia 2013 ; Conference date: 10-11-2013 Through 13-11-2013",

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AU - Rather, Zakir Hussain

AU - Liu, Leo

AU - Chen, Zhe

AU - Thøgersen, Paul

PY - 2013

Y1 - 2013

N2 - This paper presents an improved method of binary particle swarm optimization (IBPSO) technique for optimal phasor measurement unit (PMU) placement in a power network for complete system observability. Various effective improvements have been proposed to enhance the efficiency and convergence rate of conventional particle swarm optimization method. The proposed method of IBPSO ensures optimal PMU placement with and without consideration of zero injection measurements. The proposed method has been applied to standard test systems like 17 bus, IEEE 24-bus, IEEE 30-bus, New England 39-bus, IEEE 57-bus system and large power systems of IEEE 118-bus, IEEE 300-bus system and Western Danish power system. The effectiveness of the proposed method has been verified by comparison of results with previous methods.

AB - This paper presents an improved method of binary particle swarm optimization (IBPSO) technique for optimal phasor measurement unit (PMU) placement in a power network for complete system observability. Various effective improvements have been proposed to enhance the efficiency and convergence rate of conventional particle swarm optimization method. The proposed method of IBPSO ensures optimal PMU placement with and without consideration of zero injection measurements. The proposed method has been applied to standard test systems like 17 bus, IEEE 24-bus, IEEE 30-bus, New England 39-bus, IEEE 57-bus system and large power systems of IEEE 118-bus, IEEE 300-bus system and Western Danish power system. The effectiveness of the proposed method has been verified by comparison of results with previous methods.

KW - PMU

KW - Power system observability

KW - Wide area measurement

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U2 - 10.1109/ISGT-Asia.2013.6698747

DO - 10.1109/ISGT-Asia.2013.6698747

M3 - Article in proceeding

SN - 978-1-4799-1346-6

SN - 9781479913459

BT - Proceedings of the 2013 IEEE Innovative Smart Grid Technologies Conference - Asia (ISGT Asia)

PB - IEEE Press

T2 - Innovative Smart Grid Technologies Conference, ISGT Asia 2013

Y2 - 10 November 2013 through 13 November 2013

ER -

Optimal PMU Placement By Improved Particle Swarm Optimization

Abstract

Conference

Keywords

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Development of a Secure, Economic and Environmentally-friendly Modern Power System

Cite this

Optimal PMU Placement By Improved Particle Swarm Optimization

Abstract

Conference

Keywords

Access to Document

AUB Link

Other files and links

Fingerprint

Projects

Development of a Secure, Economic and Environmentally-friendly Modern Power System

Cite this