- Model the Active Distribution System Components: Define the network’s nodes, loads, generators, and storage elements. You can create system models using custom MATLAB scripts or Simulink blocks. For detailed electrical modeling, utilize blocks like Subsystem and Simscape Power Systems. For guidance, refer to the MATLAB System Modeling Documentation at www.mathworks.com/help/releases/R2022a/systemcomposer/index.html.
- Incorporate Random Failure/Connection Events: Implement random events to simulate disconnections or reconnections using MATLAB’s random functions, such as rand(), or Simulink’s SimEvents blocks. You can use blocks like Random Number to generate probabilities for failure events. For more information, refer to the "rand()" Function Documentation at www.mathworks.com/help/releases/R2022a/matlab/ref/rand.html and the SimEvents Documentation at www.mathworks.com/help/releases/R2022a/simevents/index.html.
- Set Up the Monte Carlo Simulation Framework: Develop a loop in MATLAB or use a For Iterator Subsystem in Simulink to run multiple iterations, each representing a different realization of the network operating under random events. Log outputs such as system reliability and customer satisfaction indices for each run. For more details, see Monte Carlo Simulation in MATLAB at https://www.mathworks.com/discovery/monte-carlo-simulation.htmland the For Iterator Subsystem Documentation at www.mathworks.com/help/releases/R2022a/simulink/slref/foriteratorsubsystem.html
How can I simulate an active distribution system using the Monte Carlo method in MATLAB?
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I need to simulate an article using MATLAB based on customer satisfaction using the Monte Carlo method
using by simulink or matlab code.
I know that this article doesn't have an accurate circuit or block diagram and it should be optimized from previous sources. Assuming that a part is disconnected or connected randomly
You can see the original article here
anyone can help me on this ?!
best regards.
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Harsh
2025년 3월 27일
To simulate an active distribution system using the Monte Carlo method in MATLAB, you can follow the below steps:
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