Publication:
Transient Stability Constrained Optimal Power Flow GAMS model generator on Python [dataset]

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URI: https://hdl.handle.net/10016/23105
DOI: https://doi.org/10.21950/OCSRBX
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transient_ledesma_dataset_2016.zip (26.48 KB)
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2016-05-25
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Abstract
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.
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All data are own production except for ieee118.raw
Keywords
Power system control, Power system transient stability
Bibliographic citation
Ledesma Larrea, Pablo, 2016, "Transient Stability Constrained Optimal Power Flow GAMS model generator on Python", doi:10.21950/OCSRBX, Dataverse e-cienciaDatos, V1
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DIE - REDES - Dataset