Optimizing Phasor Measurement Unit Placement Approach for Enhanced System Observability

This paper presents an Integer linear programming (ILP) model to optimize the integration of PMUs. The proposed method addresses two important goals reducing the number of PMUs required for a complete system overview and reducing redundancy measurement. By increasing system reliability through strategic redundancy, this method ensures robust performance under adverse conditions. The results obtained, in terms of the System Observability Redundancy Index (SORI), the proposed method is easy to implement and provides optimal PMU placement locations for efficient monitoring of new methods, especially for IEEE-14. IEEE-30, IEEE-57, and IEEE-118 test systems.

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Publication Details

Published
2024-11-08
DOI
https://doi.org/10.1109/odicon62106.2024.10797525
Primary Topic
Fault Detection and Control Systems
Type
article
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article

Optimizing Phasor Measurement Unit Placement Approach for Enhanced System Observability

Sheila Mahapatra, Rohit Babu, Boya Sneha
Fault Detection and Control Systems
article

Optimizing Phasor Measurement Unit Placement Approach for Enhanced System Observability

Sheila Mahapatra, Rohit Babu, Boya Sneha
article en

Abstract

This paper presents an Integer linear programming (ILP) model to optimize the integration of PMUs. The proposed method addresses two important goals reducing the number of PMUs required for a complete system overview and reducing redundancy measurement. By increasing system reliability through strategic redundancy, this method ensures robust performance under adverse conditions. The results obtained, in terms of the System Observability Redundancy Index (SORI), the proposed method is easy to implement and provides optimal PMU placement locations for efficient monitoring of new methods, especially for IEEE-14. IEEE-30, IEEE-57, and IEEE-118 test systems.

Alliance University (IN)
Openalex Percentile: Top 71%
Fault Detection and Control Systems
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