Optimal PMU Placement based on Voltage Stability Index for Observability of Network

This work presents a voltage stability Index (FLVSI) for optimal PMU placement (OPP) to achieve complete network observability. Every PQ bus is considered in the FLVSI strategy to attain weak PQ bus from PMUs are conditioned to allocate at weak PQ buses using ILP approach to attain observability of network. Zero Injection (ZIB) modeling is introduced to minimize PMU places in the network. The redundancy Index (RI) is formulated to compute redundancy for all buses in the network. IEEE –14 -39 and 118- bus networks are programmed in MATLAB and compared with standard techniques to present their efficacy.

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Publication Details

Journal
WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS
Published
2025-06-19
DOI
https://doi.org/10.37394/23201.2025.24.15
Primary Topic
Power System Optimization and Stability
Type
article
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article

Optimal PMU Placement based on Voltage Stability Index for Observability of Network

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WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS
Power System Optimization and Stability
article

Optimal PMU Placement based on Voltage Stability Index for Observability of Network

P. Lakshminarayana, M. Uma Maheswara Rao, Ch. N. Narasimha Rao, K. Mercy Rosalina, Yao Rao
article en

Abstract

This work presents a voltage stability Index (FLVSI) for optimal PMU placement (OPP) to achieve complete network observability. Every PQ bus is considered in the FLVSI strategy to attain weak PQ bus from PMUs are conditioned to allocate at weak PQ buses using ILP approach to attain observability of network. Zero Injection (ZIB) modeling is introduced to minimize PMU places in the network. The redundancy Index (RI) is formulated to compute redundancy for all buses in the network. IEEE –14 -39 and 118- bus networks are programmed in MATLAB and compared with standard techniques to present their efficacy.

WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMSVol. 24
Vignan's Foundation for Science, Technology & Research (IN)
Affordable and clean energy
Openalex Percentile: Top 88%
Power System Optimization and Stability
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