In this section, you'll discover the basics about PowSyBl: how to install it, run your first commands, configure it for your needs, etc.
Discover how to install PowSyBl and run your first iTools command from the terminal.
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.
Learn about the way the topology is handled, with different available views, the way synchronous components are treated, etc.
Learn about the way to attach additional data to the grid components using extensions
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.
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.
Compute the flow of electric power in an interconnected system in normal steady-state operation
Detect security violations on a network for a list of contingencies. This simulation can be done with or without remedial actions.
Time domain simulation
Capture the transient response of the system, with or without events activations.
Compute the linearized impact of small network variations on the state variables of some components
High Performance Computing
Grid simulation comes with a computational cost, and in this section we describe how to take advantage of the High Performance Computing capabilities of PowSyBl to reduce computational times to a minimum.
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.
Since PowSyBl is meant to make it easy to build state-of-the-art applications for grid modeling, it also comes with a set of microservices. The aim is to make it easier to build web-based applications. Check them out below.
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.