BUSCADOR RECOLECTA

All data are own production except for ieee118.raw, Transient 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.

Modern transmission networks may contain tens of thousands of busbars. Joint studies involving transmission and distribution grids pose the problem of large size of the resulting system, which may make them unmanageable. This work presents a program that reduces an electrical network, keeping only those busbars where electrical energy resources are connected. The program is written in Python and can be executed by a free-software interpreter. It can by applied to distribution networks to obtain a reduced model that still contains all relevant data needed to perform dynamic studies on the transmission grid.

This file is a supplementary material of the paper "Optimal curtailment of non-synchronous renewable generation in the island of Tenerife considering steady state and transient stability constraints". It contains a transient stability-constrained optimal power flow model written in GAMS. The model represents the IEEE 39 Bus Test System with the addition of ten non-synchronous generators connected at different buses. To execute the file, open it in GAMS or type "gams tscopf_nonsyn.gms" from the command line.