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Stable grids results from Ding0 #251

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4 tasks
gplssm opened this issue Feb 28, 2018 · 1 comment
Open
4 tasks

Stable grids results from Ding0 #251

gplssm opened this issue Feb 28, 2018 · 1 comment
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@gplssm
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gplssm commented Feb 28, 2018

This issue coordinates subtasks to achieve stable grids resulting from a Ding0. "Stable" refers to grids that do not exceed their hosting capacity and do not violate operational constraints like voltage band and line loading.

Problem description

When analyzing grid reinforcement needs with eDisGo, voltage at some nodes exceeds +/-10 % of nominal voltage which leads to identified grid reinforcement needs.

The investigation is done using grid 1882 of Ding0 data version 20180219182404.

Tasks

  • Why is Ding0 allowed to generate grids that violate operational constraints?
  • Write script that analysis how many lines/nodes are affected by operational constraints violations. Use tabular files ding0_grids__0_to_3608{lv,mv}crit_edges.csv and ding0_grids__0_to_3608{lv,mv}crit_nodes.csv
  • Find out if voltage violations occur in MV level as well
  • Provide "v_diff_0" and "v_diff_1" for MV files (as in LV files)

Notes

Operational constraints regarding voltage are differently defined in Ding0 and eDisGo. Whereas eDisGo simply requires no exceedance of +/-10 % of nominal voltage, Ding0 splits MV and LV level and thus applies strong limits for each grid level which makes sure +/- 10 % is not violated.

Voltage limits Ding0

Grid level Load case Feed-in case
MV 5 % 2 %
LV 5 % 3 %

See also

@gplssm gplssm added the bug label Feb 28, 2018
@gplssm gplssm added this to the Release 0.1.5 milestone Feb 28, 2018
@gplssm gplssm self-assigned this Feb 28, 2018
@boltbeard boltbeard added the Prio1 Priority Level 1 label Jan 15, 2019
@mltja mltja modified the milestones: Release 0.1.5, Release 0.2.2 Mar 3, 2023
@mltja mltja modified the milestones: Release 0.2.2, Release 0.3.0 Mar 13, 2023
@mltja mltja removed the Prio1 Priority Level 1 label Mar 13, 2023
@mltja
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mltja commented Mar 13, 2023

Discuss if reinforcement should be done in ding0 with edisgo functions and use the working and tested functions of @openego/edisgo . Or the currently not working reinforcement methods in ding0 should be repaired, and we want that time consuming double work.

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