Python for Power System Analysis (PyPSA) Version 0.11.0

<p>Python for Power System Analysis (PyPSA) is a free software toolbox for simulating and optimising modern power systems that include features such as conventional generators with unit commitment, variable wind and solar generation, storage units, sector coupling and mixed alternating and direct current networks. PyPSA is designed to scale well with large networks and long time series. Find out more at:</p> <p>https://pypsa.org/</p> <p>and</p> <p>http://github.com/FRESNA/PyPSA</p> <p>This is release 0.11.0 of PyPSA.</p> <p>Hyperlinked release notes can be found here: https://pypsa.org/doc/release_notes.html#pypsa-0-11-0-21st-october-2017</p> <p>This release contains new features but no changes to existing APIs.</p> <p>* There is a new function network.iplot() which creates an interactive plot in Jupyter notebooks using the plotly library. This reveals bus and branch properties when the mouse hovers over them and allows users to easily zoom in and out on the network. See the SciGRID example for a showcase of this feature and also the (sparse) documentation Plotting Networks.</p> <p>* There is a new function network.madd() for adding multiple new components to the network. This is significantly faster than repeatedly calling network.add() and uses the functions network.import_components_from_dataframe() and network.import_series_from_dataframe() internally. Documentation and examples can be found at Adding multiple components.</p> <p>* There are new functions network.export_to_hdf5() and network.import_from_hdf5() for exporting and importing networks as single files in the Hierarchical Data Format.</p> <p>* In the network.lopf() function the KKT shadow prices of the branch limit constraints are now outputted as series called mu_lower and mu_upper.</p> <p>We thank Bryn Pickering for introducing us to plotly and helping to hack together the first working prototype using PyPSA.