To efficiently collect the dataset associated with an IEC microgrid, including fault and non-fault scenarios, you can use MATLAB along with Simulink for simulation purposes. Here's a general outline of how you can do it:

Here's a simplified MATLAB code outline demonstrating these steps:

matlabCopy code% Step 1: Load Simulink model model = 'IEC_microgrid_model'; open_system(model); % Step 2: Configure simulation parameters fault_types = {'Short Circuit', 'Voltage Sag', 'Line Fault'}; % Define fault types fault_locations = {'Bus 1', 'Line 2-3', 'Transformer 1'}; % Define fault locations % Step 3: Set up data logging simOut = sim(model); % Step 4: Simulation execution (loop over fault scenarios) for i = 1:numel(fault_types) for j = 1:numel(fault_locations) % Inject fault inject_fault(model, fault_types{i}, fault_locations{j}); % Run simulation simOut = sim(model); % Step 5: Data processing (extract features and labels) % Extract data from simOut and process as needed % Step 6: Dataset generation % Organize processed data into dataset format % Save dataset to file or memory end end

In this code:

• model is the name of the Simulink model representing the IEC microgrid.
• fault_types and fault_locations specify the types and locations of faults to be simulated.
• inject_fault is a custom function to inject faults into the Simulink model.
• simOut contains the simulation output data, which can be processed and used to generate the dataset.

You'll need to customize and expand upon this outline based on the specifics of your IEC microgrid model and the data you want to collect. Additionally, ensure that your Simulink model is appropriately configured to accurately represent the behavior of the microgrid under different operating conditions and fault scenarios.