Optimal placement of phasor measurement units using particle swarm optimization

Abhinav Sadu; Rajesh Kumar; Rajesh G. Kavasseri

doi:10.1109/NABIC.2009.5393621

Optimal placement of phasor measurement units using particle swarm optimization

Abhinav Sadu, Rajesh Kumar, Rajesh G. Kavasseri

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

25 Citations (Scopus)

Abstract

This paper solves the Phasor Measurement Unit (PMU) Placement problem by Particle swarm Optimization (PSO). The PSO algorithm is implemented on three bus systems namely the 7, 14, 57 IEEE standard Bus systems. In this paper it has been proved that the placing of Phasor measurement units only at buses with the highest number of incident branches surely doesn't yield the optimal placement of the PMUs .This encouraged the idea of random placement of PMUs in the system and selection of the specific arrangement of PMUs which accomplished the task of complete observability of the system with minimum number of PMUs thus optimizing the PMU placement problem. The performance is compared with that of Adaptive GA, CLONALG and Adaptive CLONALG. The proposed method was found better.

Original language	English
Title of host publication	2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings
Pages	1708-1713
Number of pages	6
DOIs	https://doi.org/10.1109/NABIC.2009.5393621
Publication status	Published - 2009
Externally published	Yes
Event	2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Coimbatore, India Duration: 9 Dec 2009 → 11 Dec 2009

Publication series

Name	2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings

Conference

Conference	2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009
Country/Territory	India
City	Coimbatore
Period	9/12/09 → 11/12/09

Keywords

Optimal placement of PMUs
Particle swarm optimization
Phasor measurement units

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Software

Access to Document

10.1109/NABIC.2009.5393621

Cite this

Sadu, A., Kumar, R., & Kavasseri, R. G. (2009). Optimal placement of phasor measurement units using particle swarm optimization. In 2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings (pp. 1708-1713). Article 5393621 (2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings). https://doi.org/10.1109/NABIC.2009.5393621

@inproceedings{34a77d91fb444466a4640a076c2b38b3,

title = "Optimal placement of phasor measurement units using particle swarm optimization",

abstract = "This paper solves the Phasor Measurement Unit (PMU) Placement problem by Particle swarm Optimization (PSO). The PSO algorithm is implemented on three bus systems namely the 7, 14, 57 IEEE standard Bus systems. In this paper it has been proved that the placing of Phasor measurement units only at buses with the highest number of incident branches surely doesn't yield the optimal placement of the PMUs .This encouraged the idea of random placement of PMUs in the system and selection of the specific arrangement of PMUs which accomplished the task of complete observability of the system with minimum number of PMUs thus optimizing the PMU placement problem. The performance is compared with that of Adaptive GA, CLONALG and Adaptive CLONALG. The proposed method was found better.",

keywords = "Optimal placement of PMUs, Particle swarm optimization, Phasor measurement units",

author = "Abhinav Sadu and Rajesh Kumar and Kavasseri, {Rajesh G.}",

year = "2009",

doi = "10.1109/NABIC.2009.5393621",

language = "English",

isbn = "9781424456123",

series = "2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings",

pages = "1708--1713",

booktitle = "2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings",

note = "2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 ; Conference date: 09-12-2009 Through 11-12-2009",

}

Sadu, A, Kumar, R & Kavasseri, RG 2009, Optimal placement of phasor measurement units using particle swarm optimization. in 2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings., 5393621, 2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings, pp. 1708-1713, 2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009, Coimbatore, India, 9/12/09. https://doi.org/10.1109/NABIC.2009.5393621

Optimal placement of phasor measurement units using particle swarm optimization. / Sadu, Abhinav; Kumar, Rajesh; Kavasseri, Rajesh G.
2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings. 2009. p. 1708-1713 5393621 (2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings).

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

TY - GEN

T1 - Optimal placement of phasor measurement units using particle swarm optimization

AU - Sadu, Abhinav

AU - Kumar, Rajesh

AU - Kavasseri, Rajesh G.

PY - 2009

Y1 - 2009

N2 - This paper solves the Phasor Measurement Unit (PMU) Placement problem by Particle swarm Optimization (PSO). The PSO algorithm is implemented on three bus systems namely the 7, 14, 57 IEEE standard Bus systems. In this paper it has been proved that the placing of Phasor measurement units only at buses with the highest number of incident branches surely doesn't yield the optimal placement of the PMUs .This encouraged the idea of random placement of PMUs in the system and selection of the specific arrangement of PMUs which accomplished the task of complete observability of the system with minimum number of PMUs thus optimizing the PMU placement problem. The performance is compared with that of Adaptive GA, CLONALG and Adaptive CLONALG. The proposed method was found better.

AB - This paper solves the Phasor Measurement Unit (PMU) Placement problem by Particle swarm Optimization (PSO). The PSO algorithm is implemented on three bus systems namely the 7, 14, 57 IEEE standard Bus systems. In this paper it has been proved that the placing of Phasor measurement units only at buses with the highest number of incident branches surely doesn't yield the optimal placement of the PMUs .This encouraged the idea of random placement of PMUs in the system and selection of the specific arrangement of PMUs which accomplished the task of complete observability of the system with minimum number of PMUs thus optimizing the PMU placement problem. The performance is compared with that of Adaptive GA, CLONALG and Adaptive CLONALG. The proposed method was found better.

KW - Optimal placement of PMUs

KW - Particle swarm optimization

KW - Phasor measurement units

UR - http://www.scopus.com/inward/record.url?scp=77949648593&partnerID=8YFLogxK

U2 - 10.1109/NABIC.2009.5393621

DO - 10.1109/NABIC.2009.5393621

M3 - Conference contribution

AN - SCOPUS:77949648593

SN - 9781424456123

T3 - 2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings

SP - 1708

EP - 1713

BT - 2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings

T2 - 2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009

Y2 - 9 December 2009 through 11 December 2009

ER -

Optimal placement of phasor measurement units using particle swarm optimization

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this