User documentation
In this section, you'll discover the basics about PowSyBl: how to install it, run your first commands, configure it for your needs, etc.
Getting started
Configuration
User stories
Tutorials
iTools
Grid model
This section provides information about the way the network is modelled at the core of PowSyBl, i.e. in the IIDM internal format, and also how to manage network merging or extraction.
Grid modelling
Grid extension
Merging
Network extraction
Grid exchange formats
This section is dedicated to the description of the various grid formats available in PowSyBl. While IIDM is at the core of it, it is possible to import or export data in a number of formats that may be dedicated to European data exchanges or network simulation via different tools: check them out below.
CIM-CGMES
UCTE-DEF
XIIDM
PSS®E
IEEE-CDF
Matpower
Simulation
One major aim of the PowSyBl project is to make it easy to plug it with different solvers for grid simulation. At the moment, four types of simulations are supported: power flow, security analysis, time-domain simulation and sensitivity analysis. For each of them, one or several simulators is officially supported, but it is also possible to plug your own simulator within the framework. Below comes a description of the various types of simulation and supported solvers.
Power flow
Security analysis
Time domain simulation
Sensitivity analysis
Metrix simulation
Flow decomposition
Short circuit analysis
Remedial Action Optimizer
Developer documentation
This section is dedicated to the developer documentation. You'll find a description of all the repositories and artifacts of the project, but also documentation about the framework itself and the way it has been designed, and a set of tutorials aimed at helping developers get into the code.
Repositories
Artifacts
API guide
Data management
This section is dedicated to data management: PowSyBl makes it possible to handle study data in a scalable way through an Application File System (AFS). Besides, it also makes it possible to output time-series of the network data. These two features are described here.