Big-Data Modeling Based Simscape Power Systems-ST for Protective Relaying
This paper introduces novel methodologies for generating Big Data using specialized technology libraries (SPS-ST) in Matlab/Simscape Power Systems. A dedicated Matlab script is developed for simulating three IEEE standard benchmarks. Thousands of contingencies, such as line faults, generator losses, and load switches, are simulated to generate the database. During each simulation, twelve pieces of information are recorded to facilitate the implementation of artificial intelligence-based relay algorithms and the identification of early catastrophic indicators of the power systems stability. Furthermore, this database allows to modernize and develop the new protections functions. The load-flow convergence and dynamic systems response serve as criteria for verifying the correctness of implementation. The IEEE 39, 68 and 145 test systems with solar photovoltaic power plant (WECC PV) integration can be used to generate extensive training and testing databases simultaneously. The model is available in Matlab-Central file exchange platform, facilitating power systems training, research, and development endeavors.
Authors
- Innocent Kamwa (ORCID: https://orcid.org/0000-0002-3568-3716)
- Fouad Slaoui Hasnaoui
- Atieh Delavari
- Raoult Teukam Dabou (ORCID: https://orcid.org/0000-0001-7293-4265)
Institutions
- Université du Québec en Abitibi-Témiscamingue (CA)
- Université Laval (CA)
Publication Details
- Published
- 2025-02-15
- DOI
- https://doi.org/10.1109/cpeee64598.2025.10987443
- Citations
- 1
- Primary Topic
- Smart Grid Security and Resilience
- Type
- article
- Field-Weighted Citation Impact
- 1.21