Cost-Effective Placement of Phasor Measurement Units to Defend against False Data Injection Attacks on Power Grid

Author:

Bae Junhyung

Abstract

This study presents the phasor measurement unit (PMU) placement strategy in the presence of false data injection attacks which is one of the most serious security threats against power grid. It is focused on applications related to supervisory control and data acquisition (SCADA) systems where measurement data can be easily corrupted by adversaries without getting caught by the system. To safeguard power grids against malicious attacks, procedures have been proposed to facilitate the placement of secure PMUs to defend against false data injection attacks in a highly cost-effective way. It has formulated a method of identifying measurements that are vulnerable to false data injection attacks. It was discovered that a weak power grid can be transformed into a robust power grid by adding a few PMUs at vulnerable locations. Simulations on the IEEE standard test systems demonstrate the benefits of the proposed procedure.

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous)

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. On the PMU Placement Optimization for the Detection of False Data Injection Attacks;IEEE Systems Journal;2023-09

2. Resilient Consensus Control for Linear Multi-agent System Against the False Data Injection Attacks;International Journal of Control, Automation and Systems;2023-05-04

3. A Review of Cyber–Resilient Smart Grid;2022 World Automation Congress (WAC);2022-10-11

4. A Voting-Based Machine Learning Strategy to Detect False Data Injection Attack in Cyber-Physical Power Systems;2022 57th International Universities Power Engineering Conference (UPEC);2022-08-30

5. Monte-Carlo-based data injection attack on electricity markets with network parametric and topology uncertainties;International Journal of Electrical Power & Energy Systems;2022-06

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