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Related Experiment Video

Updated: Dec 5, 2025

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

Resilient control of multi-microgrids against false data injection attack.

Negar Yassaie¹, Mohammadreza Hallajiyan¹, Iman Sharifi¹

¹Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran.

ISA Transactions

|October 18, 2020

Summary

This summary is machine-generated.

This study proposes a novel method to secure multi-microgrid systems against false data injection and replay attacks. The Weighted Mean Subsequence Reduced algorithm isolates malicious agents, ensuring system stability and performance.

Keywords:

Consensus Multi-agent system Multi-microgrid Resilient control Weighted mean subsequence reduced

Related Experiment Videos

Last Updated: Dec 5, 2025

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

Area of Science:

Electrical Engineering
Control Systems
Cybersecurity

Background:

Multi-microgrid systems with distributed energy resources are vulnerable to large-scale disruptions from faults and cyberattacks.
Minimizing the impact of these disruptions is critical for reliable power system operation.

Purpose of the Study:

To develop a robust mitigation strategy for multi-microgrid systems facing false data injection and replay attacks.
To ensure the consensus and desired performance of normal agents within a multi-microgrid network under attack.

Main Methods:

Modeling the multi-microgrid system as a multi-agent system with each microgrid as a node in a weighted directed graph.
Utilizing Weighted Mean Subsequence Reduced (W-MSR) algorithms to identify and isolate malicious agents by disregarding extreme data values.
Analyzing the consensus problem among normal agents during communication and microgrid attacks.

Main Results:

The proposed W-MSR algorithm effectively isolates malicious agents from the network.
The controller maintains the system's desired performance despite the presence of false data injection and time-delayed valid data.
Simulation results validate the effectiveness of the proposed mitigation strategy.

Conclusions:

The W-MSR algorithm provides a robust solution for enhancing the security and reliability of multi-microgrid systems.
The approach successfully addresses consensus issues in attacked multi-agent microgrid networks.
This work contributes to the resilience of smart grids against sophisticated cyber threats.