Title: Cyberattack Detection and Mitigation on Central Volt‐VAr Using Circuit Law and Machine Learning

Journal Article · · Journal of Engineering
DOI: https://doi.org/10.1049/tje2.70072 · OSTI ID:2553115
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  1. Bradley Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State University Blacksburg Virginia USA
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ABSTRACT In a distribution grid, voltage is maintained within a nominal range through a Volt‐VAr function that controls capacitor banks, reactive power of distributed energy resources (DER), and on‐load tap changers (OLTC). Availability of communications helps with the implementation of central Volt‐VAr control; however, it also opens the system to cyberattacks, causing voltage disturbances. Previous work has shown the adverse impacts of false data injection (FDI) on the central Volt‐VAr control; however, very few works have studied methods to detect and mitigate FDI on Volt‐VAr control. This paper addresses gaps in the detection and mitigation of FDI on the measurement packets of a central Volt‐VAr control. This work uses a two‐stage algorithm for cyberattack detection since the accuracy of a single‐stage machine learning (ML)–based detection method decreases while dealing with unseen data. The first stage is based on the verification of measurements against circuit laws, and the second stage utilizes a tree search algorithm and an ML method to detect the falsified data. This paper compares long short‐term memory (LSTM) and bidirectional LSTM (BiLSTM) as the employed ML algorithms. Finally, the mitigation algorithm replaces the falsified data with the estimated output of the ML algorithm. The effectiveness of the proposed method is tested for several cases using the IEEE 13‐bus test system in PSCAD software.

Sponsoring Organization:
USDOE
OSTI ID:
2553115
Journal Information:
Journal of Engineering, Journal Name: Journal of Engineering Journal Issue: 1 Vol. 2025; ISSN 2051-3305
Publisher:
Institution of Engineering and Technology (IET)Copyright Statement
Country of Publication:
United States
Language:
English

References (24)

Review on cyber-physical and cyber-security system in smart grid: Standards, protocols, constraints, and recommendations journal January 2023
Framewise phoneme classification with bidirectional LSTM and other neural network architectures journal July 2005
Review of control strategies for voltage regulation of the smart distribution network with high penetration of renewable distributed generation journal October 2016
OLTC-Induced False Data Injection Attack on Volt/VAR Optimization in Distribution Systems journal January 2019
Electric Power Grid Resilience to Cyber Adversaries: State of the Art journal January 2020
Cyber-Physical Integrated Intrusion Detection Scheme in SCADA System of Process Manufacturing Industry journal January 2020
A Comprehensive Review of Cybersecurity in Inverter-Based Smart Power System Amid the Boom of Renewable Energy journal January 2022
Distributed Denial of Service Attack Detection for the Internet of Things Using Hybrid Deep Learning Model journal January 2023
Detection and Identification of Cyber and Physical Attacks on Distribution Power Grids With PVs: An Online High-Dimensional Data-Driven Approach journal February 2022
Deep Autoencoder-Based Anomaly Detection of Electricity Theft Cyberattacks in Smart Grids journal September 2022
Data-Driven Cyberphysical Anomaly Detection for Microgrids With GFM Inverters journal January 2023
Machine Learning-Based Cyber-Attack Detection in Photovoltaic Farms journal January 2023
EMT-Based Co-Simulation of Power System and Communication Networks conference October 2023
An Efficient Hybrid Deep Learning Model for Denial of Service Detection in Cyber Physical Systems journal September 2023
Detection and Diagnosis of Data Integrity Attacks in Solar Farms Based on Multilayer Long Short-Term Memory Network journal March 2021
Bi-Level Volt-VAR Optimization to Coordinate Smart Inverters With Voltage Control Devices journal May 2019
Data-driven Coordinated Voltage Control Method of Distribution Networks with High DG Penetration journal January 2022
Detection of Cyber Attacks Against Voltage Control in Distribution Power Grids With PVs journal July 2016
Data-Driven Cyber-Attack Detection for PV Farms via Time-Frequency Domain Features journal March 2022
Centralized Volt–Var Optimization Strategy Considering Malicious Attack on Distributed Energy Resources Control journal January 2018
Machine Learning-based Intrusion Detection for Smart Grid Computing: A Survey journal April 2023
A Deep Learning Based Cyber Attack Detection Scheme in DC Microgrid Systems journal June 2023
A Review of Denial of Service Attack and Mitigation in the Smart Grid Using Reinforcement Learning journal January 2023
Review of Cyberattack Implementation, Detection, and Mitigation Methods in Cyber-Physical Systems journal July 2023

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