different output dimension of different scenarios with the same ss.TDS.config.tf=10 #429
Replies: 2 comments
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The trapezoidal method in ANDES uses a large step size by default. If nonconvergence for a step happpens, it will heuristically reduce the step size. When convergence improves, it will adjust the step size back to If you need uniform step size, one way is to post-process the data and interpolate at the desired time. The second solution is to use a small step size (1/120, e.g.) and turn off |
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Hello @xiaojiangsi , Hope you find a helpful answer here. Please MARK OUT an answer to your question if you find any reply appropriate. In this way, the Q&A will be a valuable input to this community that can be helpful for future users. Regards, |
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I used andes loop to generate data for time domain simulation under different faults and got different dimensional results, if I follow 0.033 steps it should be 30827, but the final data appears in multiple cases. Why did this happen?
![image](https://user-images.githubusercontent.com/51038918/226092826-bb665ddb-472b-41b0-89b7-54f768550a20.png)
![image](https://user-images.githubusercontent.com/51038918/226092920-8180c360-cebf-4009-8cae-8ae97f08b856.png)
![image](https://user-images.githubusercontent.com/51038918/226092985-1aa5d2f0-a1f6-4a59-97a0-b42b5f30820e.png)
for example :
it cleared the fault at time 1.2, and the picture shows the part of the time series.
but when load level changed, the time series is as follow:
and somehow the dimension of the output is bigger than 30827.
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