Implement a faster and more memory-efficient version of the flow decomposition algorithm. #186
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…mposition algorithm. The decomposition is performed directly within the sensitivity engine, without going through an intermediate step of computing the PTDF and PSDF matrices. As a result, these matrices are not included in the observers. Signed-off-by: MURGEY Sebastien <[email protected]>
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Pypowsybl might be impacted by this |
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Signed-off-by: MURGEY Sebastien <[email protected]>
Signed-off-by: Hugo SCHINDLER <[email protected]>
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Please check if the PR fulfills these requirements
Does this PR already have an issue describing the problem?
No
What kind of change does this PR introduce?
New feature
What is the current behavior?
Current version of the algorithm is not memory efficient and has very low performance due to the huge amount of sensitivity factors calculated.
What is the new behavior (if this is a feature change)?
Implement a faster and more memory-efficient version of the flow decomposition algorithm. The decomposition is performed directly within the sensitivity engine, without going through an intermediate step of computing the PTDF and PSDF matrices. As a result, these matrices are not included in the observers.
Does this PR introduce a breaking change or deprecate an API?
Other information:
This new impelemntation is accessible through dedicated parameter usage, and the default implementation is the historical one, it has no impact on existing clients.