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Release v0.0.6 | ||
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Release date: July <DAY>, 2018 | ||
Release date: September 6, 2018 | ||
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<Summary> | ||
This release comes with a bunch of new features such as results output and visualization, speed-up options, a new storage | ||
integration methodology and an option to provide separate allowed voltage deviations for calculation of grid expansion needs. | ||
See list of changes below for more details. | ||
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Changes | ||
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* A methodolgy to integrate storages in the MV grid to reduce grid expansion costs was added that takes a given storage capacity and operation and allocates it to multiple smaller storages. | ||
This methodology is mainly to be used together with the `eTraGo tool <https://github.com/openego/eTraGo>`_ where an optimization of the HV and EHV levels is conducted to calculate | ||
optiomal storage size and operation at each HV/MV substation. | ||
* The voltage-based curtailment methodolgy was adapted to take into account allowed voltage deviations and curtail generators with voltages that exceed the allowed voltage deviation | ||
more than generators with voltages that do not exceed the allowed voltage deviation. | ||
* When conducting grid reinforcement it is now possible to apply separate allowed voltage deviations for different voltage levels (`#108 <https://github.com/openego/eDisGo/issues/108>`_). | ||
Furthermore, an additional check was added at the end of the grid expansion methodology if the 10%-criterion was observed. | ||
* To speed up calculations functions to update the pypsa representation of the edisgo graph after generator import, storage integration and time series update, e.g. after curtailment, were added. | ||
* Also as a means to speed up calculations an option to calculate grid expansion costs for the two worst time steps, characterized by highest and lowest residual load at the HV/MV substation, | ||
was added. | ||
* For the newly added storage integration methodology it was necessary to calculate grid expansion costs without changing the topology of the graph in order to identify feeders with | ||
high grid expansion needs. Therefore, the option to conduct grid reinforcement on a copy of the graph was added to the grid expansion function. | ||
* So far loads and generators always provided or consumed inductive reactive power with the specified power factor. It is now possible to specify whether loads and generators should | ||
behave as inductors or capacitors and to provide a concrete reactive power time series(`#131 <https://github.com/openego/eDisGo/issues/131>`_). | ||
* The Results class was extended by outputs for storages, grid losses and active and reactive power at the HV/MV substation (`#138 <https://github.com/openego/eDisGo/issues/138>`_) | ||
as well as by a function to save all results to csv files. | ||
* A plotting function to plot line loading in the MV grid was added. | ||
* Update `ding0 version to v0.1.8 <https://github.com/openego/ding0/releases/tag/v0.1.8>`_ and include | ||
`data processing v0.4.5 data <https://github.com/openego/data_processing/releases/tag/v0.4.5>`_ | ||
* `Bug fix <https://github.com/openego/eDisGo/issues/135>`_ |
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Release v0.0.7 | ||
============== | ||
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Release date: <MONTH> <DAY>, 2018 | ||
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<Summary> | ||
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Changes | ||
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