Performance Analysis of cyberattack detection for microgrids
Implementation plan:
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Step 1: Initially, We construct a Micro Grid physical system Simulink Model
Step 2: Then, we collect electrical measurement data from sensors and actuators in smart inverters within a microgrid system.
Step 3: Next, we detect the cyber attacks using Gaussian-based False Data Injection (FDI) and random Denial-of-Service (DoS) based on collected data.
Step 4: Next, we Classify the time series anomalies using CNN-LSTM deep learning model.
Step 5: Next, we distribute the communication load using the Secondary Control distribution method.
Step 6: Finally, we plot performance metrics for the following
6.1: Time vs. Detection Accuracy (%)
6.2: Time vs. Detection Time (ms)
6.3: Time vs. Communication Overhead (kbps)
6.4: Time vs. False Positive Rate (FPR) (%)
Software Requirements:
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1. Development Tool: Matlab-R2023a/Simulink or above
2. Operating System: Windows-10 (64-bit) or above
Note:
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1) If the above plan does not satisfy your requirement, please provide the processing details, like the above step-by-step.
2) Please note that this implementation plan does not include any further steps after it is put into implementation.
3) If the plan satisfies your requirement, Please confirm with us.
4) Project based on Simulation only, not a real time project.
5) Please understand that any modifications made to the confirmed implementation plan will not be made before or after the project development.
