Independent from I/O format
Based on our experience on different capacity calculation regions, the format for IGM/CGM (either UCTE/CGMES) or CRAC/CBCORA (Critical Branch/Critical Outages/Remedial Actions) are not yet harmonized over Europe. To limit dependencies with input/output format, FARAO uses its own CRAC format in order to be easily adaptable for any projects.
The internal CRAC format is in Json. It is generic and can handle specificities of different regions. Creating a Json CRAC is easy through the usage of our API, and multiple native CRAC files can already be converted into Json format (FbConstraint, CSE-CRAC, CIM-CRAC).
The limitations on critical network elements supported by the internal CRAC format are the ones listed here below.
|Angle (soon…)||Degree or Rad|
|Flow||MW or A|
By implementing these types of limitations, FARAO is able to manage most of the operational security limits defined in the network codes (Article 2, Regulation 2015/1222 CACM).
The network data model used by FARAO toolbox is the PowSyBl IIDM format. To get detailed information about the network model, please refer to dedicated documentation on PowSyBl website.
Network exchange formats supported (as part of PowSyBl project):
CRAC (for “Contingency list, Remedial Actions and additional Constraints”) are objects dedicated to define security domain of the network object. They define contingencies to take into account in business process, constraint to monitor and remedial actions available to get rid of potential active constraints.
Please refer to the dedicated documentation page to get more information about FARAO CRAC data model.
CRAC exchange formats supported:
- JSON CRAC (FARAO-specific)
- FlowBasedConstraint CRAC (used in CORE region)
- CSE CRAC (used in CSE region)
- CIM CRAC (used in SWE region)
GLSK (for “Generation and Load Shift Keys”) are objects dedicated to define scaling strategies to simulate injections modification on network model.
Please refer to the dedicated documentation page to get more information about GLSK data model.