This project uses pipenv for the required packages! Simply type pipenv install to create a virtual environment and install all required packages within. (pipenv must be installed first!)
This project is designed as python package so it can easily included in other projects. Run import ga_opf_pp to use the package.
To run the example file, go to the parent directory and call
python -m ga_opf_pp.examples.
- P and Q can be optimized separately
- Arbitrary objective functions possible (e.g.
min sum((u-1)^2)) - Arbitrary constraints are easily to include (e.g. max apparent power)
- Tap-changer of transformer + switches + shunts can be optimized, too
- Constraints can (or rather must) be soft-constraints
- Far slower than pp-OPF
- No optimality guarantee
- More parameters (population size, mutation rate etc.) -> more effort for implementation