- Switching models capture high-frequency dynamics and transients that average models inherently smooth out.
- Switching introduces nonlinearities that can affect system stability and performance, which average models might not fully represent.
- Switching models can reveal harmonic interactions and electromagnetic interference that average models might overlook.
- The interaction between controllers and fast-switching dynamics.
Is there a difference between average and switching model in term of stability?
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Hi, I'm simulating a microgrid system and I'm wondering, is there a difference between using average and switching model in term of the output and results and stability margin? if yes why that happens? Thanks
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Answers (1)
Sabin
on 18 Dec 2024
Yes, it can affect the output, results, and stability margin because:
The choice between average and switching models depends on the specific objectives of your simulation. If you're interested in overall system behavior and control design, the average model is typically sufficient and more efficient. However, if you need to analyze detailed switching effects or transient phenomena, the switching model is necessary despite its higher computational cost.
In practice, a combination of both models might be used: the average model for initial design and control analysis, and the switching model for detailed transient analysis and validation.
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