Microgrid Frequency Control Under False Data Injection Attacks
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Solution Overview
Problem
Distributed control systems in microgrids are vulnerable to false data injection attacks, which can cause frequency and voltage deviations, potentially leading to system collapse, and existing solutions require complex evaluation mechanisms and state observers.
Innovation Solution
A distributed collaborative control method based on cyber-physical fusion, utilizing a RT_LAB simulation model, DSP controller, and OPNET network simulation, designs a control algorithm that eliminates the influence of false data injection attacks by simulating real-time communication and using droop control with secondary compensation to maintain microgrid frequency at a reference value.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If distributed control mode is adopted for microgrid operation, then flexibility and scalability are improved, but vulnerability to network attacks increases
Solution Approach 1:
The patent applies preliminary anti-action by designing a control algorithm that proactively compensates for false data injection attacks before they can disrupt microgrid operation. The algorithm uses differential calculations and iterative compensation mechanisms to counteract attack effects in advance, allowing the system to maintain stability despite the inherent vulnerability of distributed control architecture
2Difficulty of detecting and measuring
If complex evaluation mechanisms and state observers are used to detect attacks, then detection capability is improved, but system complexity increases
Solution Approach 1:
The patent extracts and eliminates the need for complex evaluation mechanisms and state observers by using a simplified approach based on differential calculations and iterative compensation. The method focuses on detecting constant false data injection attacks through differential analysis without requiring additional complex detection layers, thereby reducing system complexity while maintaining effective detection capability
Solution Approach 2:
The patent employs computationally lightweight algorithms that can be implemented with minimal resources, replacing expensive and complex state observers. The differential-based detection method requires simple calculations that can be performed efficiently without heavy computational infrastructure, making the solution more practical and less complex
3Object-affected harmful factors
If constant false data injection attack is applied, then attack stealthiness is improved, but control algorithm effectiveness worsens
Solution Approach 1:
The patent applies feedback mechanisms through iterative compensation in the control algorithm. The system continuously monitors frequency deviations caused by constant false data injection attacks and adjusts control inputs accordingly. This closed-loop feedback approach enables the controller to gradually eliminate the effects of stealthy attacks and restore microgrid frequency to reference values, maintaining control effectiveness despite the persistent nature of constant attacks
4Ease of operation
If distributed control involves many control decisions and information, then control flexibility is improved, but susceptibility to attacks increases
Solution Approach 1:
The patent changes the parameters of the control algorithm to enhance robustness against attacks while maintaining flexibility. By adjusting the iterative compensation mechanism and differential calculation parameters, the system can adapt to various attack scenarios without sacrificing the benefits of distributed control. The algorithm modifies control decisions dynamically based on detected deviations, allowing flexible response to attacks while preserving the distributed architecture's operational advantages
Data Source
AI summary
A simulation method of distributed collaborative control for a microgrid under the attack of false data injection based on cyber-physical fusion is provided, which includes: establishing a distributed collaborative control simulation model for the microgrid frequency based on an RT_LAB real-time simulation tool OPAL-RT; designing a distributed collaborative control algorithm of a microgrid under the attack of false data injection based on DSP; simulating real-time communication among distributed generations based on an OPNET; simulating constant injection of false data, to realize that the frequency of each distributed generation in the microgrid is finally strictly tracked to the reference frequency. According to the method provided by the present application, no extra state observer is needed to observe the angular frequency states of local and neighboring nodes, so that the adverse effects caused by the attack of false data with a constant injection can be completely eliminated.