openego / eDisGo / 42012422935

87%

dev: 87%

Build Type

Pull #854

github

Committed by joda9

Commit Message

Speed up the spatial complexity reduction and fix three bugs in it

The reduction spent most of its run time in pandas row loops: per-bus
weights that searched the generator and load tables for every bus,
per-bus .loc writes of the busmap, row-wise apply calls to map buses and
transform coordinates, groupby.apply over all lines and per-node writes
of the pseudo coordinates. These are now done on whole columns, and the
shortest paths to the cluster medoids are searched within the feeder
and its transformer bus instead of the whole grid. Apart from the
susceptance fix below, busmap, linemap, topology and time series are
bit-identical to before on the test grids and on four real grids for all
cluster areas and modes; the reduction runs 2.5 to 9 times faster.

Bugs fixed:
- make_busmap transformed the coordinates of the EDisGo object to
  EPSG:3035 in place for the cluster areas 'feeder' and 'main_feeder'.
- apply_busmap set the susceptance b of every aggregated line to 0. It
  now keeps the susceptance per km of the aggregated lines.
- The prefix "virtual_" was removed with str.lstrip, which strips all
  leading characters contained in it.

Pull Request Pull Request #854: Speed up the spatial complexity reduction and fix three bugs in it

Coverage Stats

206 of 214 new or added lines in 2 files covered. (96.26%)

61 existing lines in 2 files now uncovered.

10180 of 11731 relevant lines covered (86.78%)

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