PMU-Based Distributed Non-Iterative Algorithm for Real-Time Voltage Stability Monitoring

The Phasor measurement unit (PMU) measurements are mandatory to monitor the power system's voltage stability margin in an online manner. Monitoring is key to the secure operation of the grid. Traditionally, online monitoring of voltage stability using synchrophasors required a centralized commu...

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Bibliographic Details
Published in:IEEE transactions on smart grid Vol. 11; no. 6; pp. 5203 - 5215
Main Authors: Guddanti, Kishan Prudhvi, Matavalam, Amarsagar Reddy Ramapuram, Weng, Yang
Format: Journal Article
Language:English
Published: Piscataway IEEE 01.11.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:1949-3053, 1949-3061
Online Access:Get full text
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Summary:The Phasor measurement unit (PMU) measurements are mandatory to monitor the power system's voltage stability margin in an online manner. Monitoring is key to the secure operation of the grid. Traditionally, online monitoring of voltage stability using synchrophasors required a centralized communication architecture, which leads to the high investment cost and cyber-security concerns. The increasing importance of cyber-security and low investment costs have recently led to the development of distributed algorithms for online monitoring of the grid that are inherently less prone to malicious attacks. In this work, we proposed a novel distributed non-iterative voltage stability index (VSI) by recasting the power flow equations as circles. The processors embedded at each bus in the smart grid with the help of PMUs and communication of voltage phasors between neighboring buses perform simultaneous online computations of VSI. The distributed nature of the index enables the real-time identification of the critical bus of the system with minimal communication infrastructure. The effectiveness of the proposed distributed index is demonstrated on IEEE test systems and contrasted with existing methods to show the benefits of the proposed method in speed, interpretability, identification of outage location, and low sensitivity to noisy measurements.
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ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2020.3007063