Ledesma Larrea, Pablo2017-06-052017-06-052016-05-25Ledesma Larrea, Pablo, 2016, "Transient Stability Constrained Optimal Power Flow GAMS model generator on Python", doi:10.21950/OCSRBX, Dataverse e-cienciaDatos, V1https://hdl.handle.net/10016/23105All data are own production except for ieee118.rawTransient Stability Constrained Optimal Power Flow (TSCOPF) is a nonlinear optimization problem used to perform economic dispatches while ensuring transient stability. This paper proposes a multi-contingency TSCOPF model that retains the dynamics of all generators and includes a transient synchronous generator dq-axis model. Program write_tscopf.py automatically reads the system data from standard PSSE raw files, builds the TSCOPF model tscopf.gms on high-level modelling system GAMS and solves it using a non-heuristic Interior Point algorithm. This approach facilitates the application of the model to a variety of systems and scenarios. Data for the New England 39 Bus System and the IEEE 118 Bus system are included.text/plainengAtribución 3.0 EspañaPower system controlPower system transient stabilityTransient Stability Constrained Optimal Power Flow GAMS model generator on Python [dataset]datasetIngeniería Industrialhttps://doi.org/10.21950/OCSRBXopen access