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PSSE with dask/Python for large datasets in contingency results

Hi,

I am trying to extract the results of acc files using pssarrays.acccsummary and pssarrays.acccsolution. I have more than 80,000 contingencies. When I try to read the result of each contingency using for loop in python, I get MemoryError after reading 8,000 contingencies. The size of my .acc file is 2GB

Since I am working with large datasets, will Dask be helpful for this issue? Did anyone face a similar issue?

Any suggestion is greatly appreciated. Thanks in advance