Model

Run and experiment with complex models with ease

The model represents everything that is required to run a simulation.

While LtmApi simplifies the creation of models, the model is still a complex object with many different types of data. And while LtmApi is much simpler than the classic file based approach, it is still a complex task to create a balanced model.

The different types of data is detailed in the list below.

Note

The most used notebooks:

• List of API attributes
• List of result methods

Getting started

Basic installation instructions and setup of a Python virtual environment.

• Getting started
• Live LTM
• Helper methods
• Importing a classic runtime directory

LtmApi introductions with examples

Introductary material for using the LtmApi.

• Time in the LtmApi
• Break point series
• Time dependent piecewise linear constraints
• Cyclic piecewise linear constaints
• Cyclic PQ-curves
• API Waterways and hydro topology
• Residual loads
• Hydraulic Couplings
• Forecast
• Pumps in the LtmApi
• Battery example
• FBMC example
• EOPS Example
• Market steps with exogeous prices
• Exogenous prices water value
• Creating the EMPS FBMC input file from the LtmApi

Notebooks

• List of API attributes
• List of result methods
• Hydraulic Couplings (notebook)
• Cyclic curves

Datatypes

• V10 Dataset Converter
• Datatypes
• External data
• Util

Objects

Discriptions of the most commonly use object in the LtmApi.

• Global Settings
• Areas
• Hydro power
• DC Lines
• Loads
• Market Calibration Areas
• Market Steps
• Price Series
• Pumps
• Uncontrollable generation
• Connections
• Common attributes

Notebooks

Collection of notebooks for various concepts and features not covered elsewhere.

• Revisjonsplan.stas reader

Other

• License
• Logging
• Model execution
• Exporting of results
• Model Validation