wiki.openmod-initiative.org - User contributions [en]

GridCal

2019-01-07T01:12:58Z

Michel Lavoie: "Planned to open up in the future" is ambiguous for an already open project; all data directly related to GridCal is open so changed to "all".

{{Model
|Full_Model_Name=GridCal
|Acronym=GridCal
|authors=Santiago Peñate Vera, Michel Lavoie
|contact_persons=Santiago Peñate Vera
|contact_email=santiago.penate.vera@gmail.com
|website=https://github.com/SanPen/GridCal
|source_download=https://github.com/SanPen/GridCal.git
|logo=GridCal banner.png
|text_description=GridCal is a research oriented power systems software.

Research oriented? How? Well, it is a fruit of research. It is designed to be modular. As a researcher I found that the available software (not even talking about commercial options) are hard to expand or adapt to achieve complex simulations. GridCal is designed to allow you to build and reuse modules, which eventually will boost your productivity and the possibilities that are at hand.
|Primary outputs=PF, OPF, PF time series, OPF time series, SC, stability, stochastic PF, etc.
|Support=Linux, Windows, OSX
|Framework=Python
|User documentation=https://github.com/SanPen/GridCal/blob/master/Documentation/GridCal/Manual_of_GridCal.pdf
|Code documentation=https://github.com/SanPen/GridCal/blob/master/Documentation/GridCal/Manual_of_GridCal.pdf
|Number of developers=2
|open_source_licensed=Yes
|license=GNU General Public License version 3.0 (GPL-3.0)
|model_source_public=Yes
|Link to source=https://github.com/SanPen/GridCal.git
|data_availability=all
|open_future=Yes
|modelling_software=Python
|processing_software=Python
|GUI=Yes
|model_class=Transmission Network Model and Data (input and output),
|sectors=Electricity
|technologies=Conventional Generation
|Demand sectors=Households, Industry, Transport, Commercial sector
|Transfer (Electricity)=Distribution, Transmission
|Storage (Electricity)=Battery
|Storage (Gas)=No
|Storage (Heat)=No
|Changes in efficiency=Fixed
|network_coverage=transmission, distribution, AC load flow, DC load flow
|math_modeltype=Optimization, Simulation
|math_modeltype_shortdesc=Object oriented structures -> intermediate objects holding arrays -> Numerical modules
|math_objective=Match generation to demand and minimise cost
|deterministic=Deterministic, stochastic
|is_suited_for_many_scenarios=Yes
|montecarlo=Yes
|Model validation=Pytest, comparison with commercial and open-source alternatives
|Specific properties=Compability with multiple formats, GUI, multiple PF algorithms, grid reduction, transformer voltage regulators, voltage controlled generators, conductor resistance temperature correction
|Integrated models=CIM (Common Information Model v16), PSS/e RAW versions 30, 32 and 33, Matpower, DigSilent .DGS
|Model input file format=Yes
|Model file format=Yes
|Model output file format=Yes
}}

GridCal

2019-01-07T01:09:27Z

Michel Lavoie: Initial description by developer (not author)

{{Model
|Full_Model_Name=GridCal
|Acronym=GridCal
|authors=Santiago Peñate Vera, Michel Lavoie
|contact_persons=Santiago Peñate Vera
|contact_email=santiago.penate.vera@gmail.com
|website=https://github.com/SanPen/GridCal
|source_download=https://github.com/SanPen/GridCal.git
|logo=GridCal banner.png
|text_description=GridCal is a research oriented power systems software.

Research oriented? How? Well, it is a fruit of research. It is designed to be modular. As a researcher I found that the available software (not even talking about commercial options) are hard to expand or adapt to achieve complex simulations. GridCal is designed to allow you to build and reuse modules, which eventually will boost your productivity and the possibilities that are at hand.
|Primary purpose=Research
|Primary outputs=PF, OPF, PF time series, OPF time series, SC, stability, stochastic PF, etc.
|Support=Linux, Windows, OSX
|Framework=Python
|User documentation=https://github.com/SanPen/GridCal/blob/master/Documentation/GridCal/Manual_of_GridCal.pdf
|Code documentation=https://github.com/SanPen/GridCal/blob/master/Documentation/GridCal/Manual_of_GridCal.pdf
|Number of developers=2
|open_source_licensed=Yes
|license=GNU General Public License version 3.0 (GPL-3.0)
|model_source_public=Yes
|Link to source=https://github.com/SanPen/GridCal.git
|data_availability=some
|open_future=No
|modelling_software=Python
|processing_software=Python
|Primary purpose=Research
|GUI=Yes
|model_class=Transmission Network Model and Data (input and output),
|sectors=Electricity
|technologies=Conventional Generation
|Demand sectors=Households, Industry, Transport, Commercial sector
|Transfer (Electricity)=Distribution, Transmission
|Storage (Electricity)=Battery
|Storage (Gas)=No
|Storage (Heat)=No
|Changes in efficiency=Fixed
|network_coverage=transmission, distribution, AC load flow, DC load flow
|math_modeltype=Optimization, Simulation
|math_modeltype_shortdesc=Object oriented structures -> intermediate objects holding arrays -> Numerical modules
|math_objective=Match generation to demand and minimise cost
|deterministic=Deterministic, stochastic
|is_suited_for_many_scenarios=Yes
|montecarlo=Yes
|Model validation=Pytest, comparison with commercial and open-source alternatives
|Specific properties=Compability with multiple formats, GUI, multiple PF algorithms, grid reduction, transformer voltage regulators, voltage controlled generators, conductor resistance temperature correction
|Integrated models=CIM (Common Information Model v16), PSS/e RAW versions 30, 32 and 33, Matpower, DigSilent .DGS
|Model input file format=Yes
|Model file format=Yes
|Model output file format=Yes
}}

File:GridCal banner.png

2019-01-07T00:37:20Z

Michel Lavoie: GridCal banner

GridCal banner