scholarly journals A Novel Technique to Detect False Data Injection Attacks on Phasor Measurement Units

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5791
Author(s):  
Saleh Almasabi ◽  
Turki Alsuwian ◽  
Ehtasham Javed ◽  
Muhammad Irfan ◽  
Mohammed Jalalah ◽  
...  
Keyword(s):  
New York ◽  
Phase Locking ◽  
Phasor Measurement Units ◽  
Efficient Operation ◽  
False Data Injection ◽  
Injection Attacks ◽  
Phasor Measurement ◽  
Measurement Units ◽  
Advanced Metering ◽  
Phase Locking Value

The power industry is in the process of grid modernization with the introduction of phasor measurement units (PMUs), advanced metering infrastructure (AMI), and other technologies. Although these technologies enable more reliable and efficient operation, the risk of cyber threats has increased, as evidenced by the recent blackouts in Ukraine and New York. One of these threats is false data injection attacks (FDIAs). Most of the FDIA literature focuses on the vulnerability of DC estimators and AC estimators to such attacks. This paper investigates FDIAs for PMU-based state estimation, where the PMUs are comparable. Several states can be manipulated by compromising one PMU through the channels of that PMU. A Phase Locking Value (PLV) technique was developed to detect FDIAs. The proposed approach is tested on the IEEE 14-bus and the IEEE 30-bus test systems under different scenarios using a Monte Carlo simulation where the PLV demonstrated an efficient performance.

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

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3862
Author(s):  
Junhyung Bae
Keyword(s):  
Power Grid ◽  
Measurement Data ◽  
Cost Effective ◽  
Standard Test ◽  
Power Grids ◽  
Measurement Unit ◽  
False Data Injection ◽  
Injection Attacks ◽  
Phasor Measurement ◽  
Measurement Units

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.

Estimação de Fontes Harmônicas em Sistemas de Potência

2020 ◽  
Vol 20 ◽  
pp. 11
Author(s):  
Arthur Mesquita ◽  
Marcelo Lima ◽  
Thales Wulfert ◽  
Igor Delgado ◽  
Leandro Manso ◽  
...  
Keyword(s):  
Phasor Measurement Units ◽  
Phasor Measurement ◽  
Measurement Units

Este artigo apresenta uma metodologia para a estimação de fontes de correntes harmônicas em sistemas elétricos de potência a partir do uso da Análise de Componentes Independentes (ICA). Através dos fasores de tensão harmônica complexa obtidos por PMUs (Phasor Measurement Units), os perfis harmônicos podem ser observados e considerados para a estimação das fontes. Um algoritmo baseado em um filtro de média móvel é responsável por dissociar as variações lentas e rápidas dos perfis harmônicos que são empregados à ICA para a estimação das fontes de corrente, rastreando-as ao longo do dia. Simulações computacionais no sistema IEEE 14 Barras são realizadas no intuito de validar a metodologia proposta.

Steady-state Security Assessment Based on K-Means Clustering Algorithm and Phasor Measurement Units

2020 ◽  
Vol 13 (4) ◽  
pp. 559-570
Author(s):  
Bassam A. Hemade ◽  
Hamed A. Ibrahim ◽  
Hossam E.A. Talaat
Keyword(s):  
Steady State ◽  
Clustering Algorithm ◽  
System Security ◽  
Phasor Measurement Units ◽  
Operating Conditions ◽  
Security Assessment ◽  
State Security ◽  
Phasor Measurement ◽  
Measurement Units ◽  
Silhouette Analysis

Background: The security assessment plays a crucial role in the operation of the modern interconnected power system network. Methods: Hence, this paper addresses the application of k-means clustering algorithm equipped with Principal Component Analysis (PCA) and silhouette analysis for the classification of system security states. The proposed technique works on three principal axes; the first stage involves contingency quantification based on developed insecurity indices, the second stage includes dataset preparation to enhance the overall performance of the proposed method using PCA and silhouette analysis, and finally the application of the clustering algorithm over data. Results: The proposed composite insecurity index uses available synchronized measurements from Phasor Measurement Units (PMUs) to assess the development of cascading outages. Considering different operational scenarios and multiple levels of contingencies (up to N-3), Fast Decoupled Power Flow (FDPF) have been used for contingency replications. The developed technique applied to IEEE 14-bus and 57-bus standard test system for steady-state security evaluation. Conclusion: The obtained results ensure the robustness and effectiveness of the established procedure in the assessment of the system security irrespective of the network size or operating conditions.

scholarly journals The Paradigm Revolution in the Distribution Grid: The Cutting-Edge and Enabling Technologies

2020 ◽  
Vol 10 (1) ◽  
pp. 369-395
Author(s):  
C M Thasnimol ◽  
R. Rajathy
Keyword(s):  
Data Storage ◽  
Renewable Energy Sources ◽  
Distribution Network ◽  
Phasor Measurement Units ◽  
Self Healing ◽  
Multi Agent Systems ◽  
Directional Information ◽  
Phasor Measurement ◽  
Measurement Units ◽  
Trading Mechanisms

AbstractBi-directional information and energy flow, renewable energy sources, battery energy storage, electric vehicle, self-healing capability, and demand response programs, etc., revolutionized the traditional distribution network into the smart distribution network. Adoption of modern technologies like intelligent meters such as advanced metering infrastructure & Micro-phasor measurement units, data storage, and analysis techniques and incentive-based electricity trading mechanisms can bring this paradigm shift. This study presents an overview of popular technologies that facilitate this transformation, giving focus on some prime technologies such as real-time monitoring based on Micro-phasor measurement units, data storage and analytics, blockchain technology, multi-agent systems, and incentive-based energy trading mechanisms

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