format_timedata: Format time data

In NREL/repra: Renewable Energy Probability Resource Assessment Tool (REPRA)

Description

Create valid data container that has aggregated load and variable generation (VG) time series for different areas and levels of aggregation.

Usage

format_timedata(data, levels = NULL, scenario = NULL, day.steps = 24)

Arguments

data	Data frame with the load and VG time series (see details for requirements)
levels	Optional data frame that contains levels of aggregation, e.g., BAA, transmission area or interconnection (see details for requirements)
scenario	Name of columns in data used to denote different scenarios
day.steps	Number of data points in a day (defaults to 24)

Details

The columns identified by scenario are used to perform calculations separately. This way one can run different sensitivities in the same calculation (e.g., to estimate the capacity value of wind with different penetration levels).

Requirements for data:

• The number of entries needs to be a multiple of day.steps

• A Time column that can be ordered (integer or time stamps)

• A Load column with load time series

• No column named Level, NetLoad, VG, WinProb or Multiplier (they are reserved name)

• Optionally, if a column called Area exists, it will be used to separate areas

• All columns must contain numbers except for Time, Area and those in scenario

Requirements for levels:

• This parameter is optional

• If levels is provided, data must contain a column called Area

• The first column must contain the most granular level of data

• The column names in levels will become the names of the different levels of aggregation

Value

A data frame with load and VG data aggregated by scenario and different areas and levels of aggregation

See Also

outage_table is the function that creates outage tables

sliding_window is used internally by several functions to extend time data objects

Examples

# Create data for two days
tdata <- data.frame(Area = c(rep("A", 48), rep("B", 48)),
                    Time = 1:48,
                    Load = c(runif(48, 200, 250), runif(48, 400, 450)),
                    Wind = c(runif(48, 20, 25), runif(48, 40, 45)))
levs <- data.frame(BAA = c("A", "B"), Region = c("All", "All"))

# Format time data without and with different levels of aggregation
td1 <- format_timedata(tdata)
head(td1)
td2 <- format_timedata(tdata, levs)
head(td2)

# Format time data with a scenario column
tdata2 <- tdata
tdata2$Scenario <- "Scenario 1"
td3 <- format_timedata(tdata2, scenario = "Scenario")
head(td3)

# Format time data without Area column (minimum example)
tdata3 <- tdata
tdata2$Area <- NULL
td4 <- format_timedata(tdata3)
head(td4)

NREL/repra documentation built on May 7, 2019, 6:03 p.m.