Multi-criteria based staging of Optimal PMU Placement using Fuzzy Weighted Average

Ondrej Linda; Milos Manic; Annarita Giani; Miles McQueen

doi:10.1109/ISIE.2013.6563646

Multi-criteria based staging of Optimal PMU Placement using Fuzzy Weighted Average

Ondrej Linda
, Milos Manic
, Annarita Giani
, Miles McQueen

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

6 Scopus citations

Abstract

In this paper, a multi-criteria based two step method for Optimal PMU Placement (OPP) using Fuzzy Weighted Average (FWA) is proposed. In the first step, a Genetic Algorithm is used to compute the OPP solution based on the requirement of full system observability and maximum measurement redundancy. In the second step, PMU installation criteria are modeled as Fuzzy Sets (FSs) and the FWA is applied to rank the selected PMU installation sites. The criteria of observability, cost, importance, and security are used here for the multi-criteria decision making. It is shown that the proposed method using the FWA can handle a mixture of criteria types (real values, intervals and fuzzy sets) and produce a suitable staging strategy for the PMU installation.

Original language	English
Title of host publication	2013 IEEE International Symposium on Industrial Electronics, ISIE 2013
DOIs	https://doi.org/10.1109/ISIE.2013.6563646
State	Published - 2013
Externally published	Yes
Event	2013 IEEE 22nd International Symposium on Industrial Electronics, ISIE 2013 - Taipei, Taiwan, Province of China Duration: May 28 2013 → May 31 2013

Publication series

Name	IEEE International Symposium on Industrial Electronics

Conference

Conference	2013 IEEE 22nd International Symposium on Industrial Electronics, ISIE 2013
Country/Territory	Taiwan, Province of China
City	Taipei
Period	05/28/13 → 05/31/13

Keywords

Fuzzy Sets
Fuzzy Weighted Average
Genetic Algorithm
Optimal PMU Placement
Phasor Measurement Units
Power Grid
Staging

Access to Document

10.1109/ISIE.2013.6563646

Cite this

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title = "Multi-criteria based staging of Optimal PMU Placement using Fuzzy Weighted Average",

abstract = "In this paper, a multi-criteria based two step method for Optimal PMU Placement (OPP) using Fuzzy Weighted Average (FWA) is proposed. In the first step, a Genetic Algorithm is used to compute the OPP solution based on the requirement of full system observability and maximum measurement redundancy. In the second step, PMU installation criteria are modeled as Fuzzy Sets (FSs) and the FWA is applied to rank the selected PMU installation sites. The criteria of observability, cost, importance, and security are used here for the multi-criteria decision making. It is shown that the proposed method using the FWA can handle a mixture of criteria types (real values, intervals and fuzzy sets) and produce a suitable staging strategy for the PMU installation.",

keywords = "Fuzzy Sets, Fuzzy Weighted Average, Genetic Algorithm, Optimal PMU Placement, Phasor Measurement Units, Power Grid, Staging",

author = "Ondrej Linda and Milos Manic and Annarita Giani and Miles McQueen",

year = "2013",

doi = "10.1109/ISIE.2013.6563646",

language = "English",

isbn = "9781467351942",

series = "IEEE International Symposium on Industrial Electronics",

booktitle = "2013 IEEE International Symposium on Industrial Electronics, ISIE 2013",

note = "2013 IEEE 22nd International Symposium on Industrial Electronics, ISIE 2013 ; Conference date: 28-05-2013 Through 31-05-2013",

}

Linda, O, Manic, M, Giani, A & McQueen, M 2013, Multi-criteria based staging of Optimal PMU Placement using Fuzzy Weighted Average. in 2013 IEEE International Symposium on Industrial Electronics, ISIE 2013., 6563646, IEEE International Symposium on Industrial Electronics, 2013 IEEE 22nd International Symposium on Industrial Electronics, ISIE 2013, Taipei, Taiwan, Province of China, 05/28/13. https://doi.org/10.1109/ISIE.2013.6563646

Multi-criteria based staging of Optimal PMU Placement using Fuzzy Weighted Average. / Linda, Ondrej; Manic, Milos; Giani, Annarita et al.
2013 IEEE International Symposium on Industrial Electronics, ISIE 2013. 2013. 6563646 (IEEE International Symposium on Industrial Electronics).

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

TY - GEN

T1 - Multi-criteria based staging of Optimal PMU Placement using Fuzzy Weighted Average

AU - Linda, Ondrej

AU - Manic, Milos

AU - Giani, Annarita

AU - McQueen, Miles

PY - 2013

Y1 - 2013

N2 - In this paper, a multi-criteria based two step method for Optimal PMU Placement (OPP) using Fuzzy Weighted Average (FWA) is proposed. In the first step, a Genetic Algorithm is used to compute the OPP solution based on the requirement of full system observability and maximum measurement redundancy. In the second step, PMU installation criteria are modeled as Fuzzy Sets (FSs) and the FWA is applied to rank the selected PMU installation sites. The criteria of observability, cost, importance, and security are used here for the multi-criteria decision making. It is shown that the proposed method using the FWA can handle a mixture of criteria types (real values, intervals and fuzzy sets) and produce a suitable staging strategy for the PMU installation.

AB - In this paper, a multi-criteria based two step method for Optimal PMU Placement (OPP) using Fuzzy Weighted Average (FWA) is proposed. In the first step, a Genetic Algorithm is used to compute the OPP solution based on the requirement of full system observability and maximum measurement redundancy. In the second step, PMU installation criteria are modeled as Fuzzy Sets (FSs) and the FWA is applied to rank the selected PMU installation sites. The criteria of observability, cost, importance, and security are used here for the multi-criteria decision making. It is shown that the proposed method using the FWA can handle a mixture of criteria types (real values, intervals and fuzzy sets) and produce a suitable staging strategy for the PMU installation.

KW - Fuzzy Sets

KW - Fuzzy Weighted Average

KW - Genetic Algorithm

KW - Optimal PMU Placement

KW - Phasor Measurement Units

KW - Power Grid

KW - Staging

UR - https://www.scopus.com/pages/publications/84881650472

U2 - 10.1109/ISIE.2013.6563646

DO - 10.1109/ISIE.2013.6563646

M3 - Conference contribution

AN - SCOPUS:84881650472

SN - 9781467351942

T3 - IEEE International Symposium on Industrial Electronics

BT - 2013 IEEE International Symposium on Industrial Electronics, ISIE 2013

T2 - 2013 IEEE 22nd International Symposium on Industrial Electronics, ISIE 2013

Y2 - 28 May 2013 through 31 May 2013

ER -

Multi-criteria based staging of Optimal PMU Placement using Fuzzy Weighted Average

Abstract

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Keywords

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