What’s new¶

Power Flow and Clustering. eGo is now using eTraGo non-linear power flows based on optimization results and its disaggregation of clustered results to an original spatial complexities. With the release of eDisGo speed-up options, a new storage integration methodology and more are now available.

Added features¶

Update of dependencies
Implementing of Ding0 grid parallelization
Redesign of scenario settings and API simplifications
Adding and using the Power Flow of eTraGo in eGo
Testing and using new dataprocessing Version v0.4.3, v0.4.4 and v0.4.5
make eGo installable from pip via pip3 install eGo -- process-dependency-links
Implementing eDisGo’s storage distribution for MV and LV grids
Improved logging and the creation of status files
Maximal calculation time for ding0 grids can be set by user
eDisGo results import and export (all eGo-relevant data from eDisGo can be re-imported after a run)
Storage-related investment costs are also allocated to MV grids
Update of cluster plots
Plot of investment costs per line and bus
Update of ego.iplot for an interactive visualization

Release v0.2.0 (July 18, 2018)¶

Fundamental structural changes of the eGo tool are included in this release. A new feature is the integration of the MV grid power flow simulations, performed by the tool eDisGo.. Thereby, eGo can be used to perform power flow simulations and optimizations for EHV, HV (eTraGo) and MV (eDisGo) grids.

Moreover, the use of the Dataprocessing versions ''v0.4.1'' and ''v0.4.2'' is supported. Please note, that this release is still under construction and only recommended for developers of the open_eGo project.

Furthermore, overall cost aggregation functions are available.

Added features¶

Cleaned and restructured eGo classes and functions
- Move classes of eGo from results.py to io.py
- Move serveral function
Introduce new files for eDisGo handling
- edisgo_integration.py
- mv_cluster.py
Introduce new file storages.py for eTraGo
Updated eTraGo 0.6 and integrated eTraGo’s new functions and features to eGo
Updated eDisGo 0.0.3 version which includes the features of a parallelization for custom function and other important API changes.
Started to implemented pep8 style to eGo Code
Implemented logging function for the whole model
Using the Restfull-API for the OpenEnergy Database connection, buy using ego.io v0.4.2. A registration is needed and can be done on openenergy-platform.org/login
Remove functionalities from ego_main.py to the eGo class
Fixed eTraGo scenario import of etrago_from_oedb()

Notes¶

As an external user you need to have an account on the openenergy-platform.org/login
In future versions, all MV grids (ding0 grids) will be queried from your database. However, in this version all MV grids have to be generated with the tool ding0 and stored in eGo’s data folder.
Total operational costs are missing in this release

Release v0.1.0 (March 29, 2018)¶

As this is the second release of eGo. This Release introduce the results class and is still under construction and not ready for a normal use.

Added features¶

Update of interface between eTraGo and eDisGo (specs)
New structure of eGo module / resulte class
Restructuring of functions
Add import function of eTraGo results form oedb

Notes¶

The ‘direct_specs’ function is not working and needs to be set to false

Release v0.0.1 (February 02, 2018)¶

As this is the first release of eGo. The tool eGo use the Python3 Packages eTraGo (Optimization of flexibility options for transmission grids based on PyPSA) and eDisGo (Optimization of flexibility options and grid expansion for distribution grids based on PyPSA) for an electrical power calculation from extra high voltage to selected low voltage level.

Added features¶

Interface between eTraGo and eDisGo
Plots with folium
First result structure