Units: | - |
Default Value: | 2 |
Validation Rule: | In (2,3,4,5) |
Description: | Type of chronology used |
MT Schedule Chronology controls the level of detail used in representing the Horizon. The settings can take these values:
The number of modeled periods in each sample period
(day/week/month)by default is set by the Horizon
Periods per Day. This can
be reduced (using the same technique as Fitted Chronology above)
with the parameter Sampled
Block Count.
NOTE: After sampling a rescaling process is performed, which detects wind, solar, load, etc. profiles (i.e.. highly variable data) and rescales them such that the total energy equals their original input amount. When rescaling the sampled profile, the same method is used as the Load Forecasting. The base profile (that gets rescaled) is the profile that is produced by the sampling process, and the sum/max/min targets come from the original input data for the sampling interval. By default, the linear growth method is used to calculate the scaling factors, and it will automatically switch to quadratic method when linear method produces negative values. The loads in the formulation are the weighted average of the reduced and rescaled samples. To switch off the rescaling process please use the undocumented parameter "SuppressRescalingSampledData" under "Model" class.
Under the "Partial" option (using duration curves) chronology is maintained only between duration curves, not within the curves i.e. for weekly curves, constraints such as Storage Max Volume are tracked only between weeks, and most technical limits such as ramp constraints, and generator start up and shutdown are not tracked.
For both the "Fitted" and "Sampled" options, full chronological modelling is done. The key difference is that under the "Fitted" option the duration of each time period can vary depending on how the underlying intervals are grouped together, whereas under the "Sampled" option the simulation periods are all the 'native' duration controlled by the Horizon Periods per Day setting.
For energy type models, "Fitted" and "Sampled" options query the Region Load or Market Price (for energy markets) along with adjustment factors such as Generator Load Subtracter.
For Universal models you should associate MT Schedule with one or more Variable objects using the Variables collection. The Profile property of those Variable objects is then summed to produce the 'shape' for all chronology types to slice, fit and sample.
See also: