Example2.Analysis.PFVariants

Variants with redeclarable power flow structures for top-level re-parametrization

Information

Uses the system model in Example2.Base.Systems.PFVariants.syspf that takes advantage of OpenIPSL data types with nominal attributes and top-level re-parametrization of power flow initial guess data.

It is recommended that the models within this package are used for derivative works. See more details in the information layer of Example2.PFData.

Extends from Modelica.Icons.VariantsPackage (Icon for package containing variants).

Package Content

Name	Description
Ramping_pf	Model for simulation used to illustrate how ramping is applied to move the system to multiple operating points.
RampingRandomLoadAndInput_pf	Model to perform blind estimation with default controller and re-design
KchangeLinRamping_pf	Model to perform blind estimation with default controller and re-design
AutomationFunctions	Provides functions for automation of simulation and linearization using the models of the upper layer package

Example2.Analysis.PFVariants.Ramping_pf

Model for simulation used to illustrate how ramping is applied to move the system to multiple operating points.

Information

This model illustrates how ramping is applied to move the system to multiple operating points.

To simulate this model and plot the results, execute the function Example2.Analysis.PFVariants.AutomationFunctions.simulate_and_plot_ramping_pf , which sets up the adequate solver settings to minimize run time.

Extends from Modelica.Icons.Example (Icon for runnable examples).

Parameters

Example2.Analysis.PFVariants.RampingRandomLoadAndInput_pf

Model to perform blind estimation with default controller and re-design

Information

To simulate this model it is recommended to execute the function Example2.Analysis.PFVariants.AutomationFunctions.simulate_and_plot_inputs_pf , which sets up the adequate solver settings to minimize run time.

Please note that running this model takes substantial time compared to example Example2.Analysis.PFVariants.Ramping_pf, the reason is that both random load and probing signals are added to the model which results in an additional computation burden.

Extends from Modelica.Icons.Example (Icon for runnable examples).

Example2.Analysis.PFVariants.KchangeLinRamping_pf

Model to perform blind estimation with default controller and re-design

Information

Extends from Example2.Utilities.Icons.ModelForLinearization (nonlin4lin = for this model, you need to provide inputs or use it as is for linearization).

Connectors