Plot of the load duration curve

HTML interactive plot showing the graphical representation of a load duration curve. The Load Duration Curve (LDC) represents the percentage of time that a specific value of power has been used in the electrical grid for a specific time period. It's widely used for power system planning and grid reliability assessments. Also, a comparison between the original scenario is done when original_df is not NULL.

Usage

plot_load_duration_curve(df, original_df = NULL)

Arguments

df

tibble, with columns datetime, consumption, production

original_df

tibble with same columns than df corresponding to the original scenario (e.g. without flexibility).

Value

dygraphs plot

Examples

df <- dplyr::select(
  energy_profiles,
  datetime,
  consumption = building
)
head(df)
#> # A tibble: 6 × 2
#>   datetime            consumption
#>   <dttm>                    <dbl>
#> 1 2023-01-01 00:00:00        2.61
#> 2 2023-01-01 00:15:00        2.42
#> 3 2023-01-01 00:30:00        2.23
#> 4 2023-01-01 00:45:00        2.04
#> 5 2023-01-01 01:00:00        1.85
#> 6 2023-01-01 01:15:00        1.78

plot_load_duration_curve(df)


# Build another random building profile
building_variation <- rnorm(nrow(df), mean = 0, sd = 1)
df2 <- dplyr::mutate(df, consumption = consumption + building_variation)
plot_load_duration_curve(df2, original_df = df)