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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Big-Data Modeling Based Simscape Power Systems-ST for Protective Relaying

Innocent Kamwa, Fouad Slaoui Hasnaoui, Atieh Delavari, Raoult Teukam Dabou
1 citations
Smart Grid Security and Resilience
1.21
article

Big-Data Modeling Based Simscape Power Systems-ST for Protective Relaying

Innocent Kamwa, Fouad Slaoui Hasnaoui, Atieh Delavari, Raoult Teukam Dabou
article en
1 citations

Abstract

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.

Université du Québec en Abitibi-Témiscamingue (CA), Université Laval (CA)
Affordable and clean energy
Openalex Percentile: Top 22%
Smart Grid Security and Resilience
1.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Big-Data Modeling Based Simscape Power Systems-ST for Protective Relaying — Innocent Kamwa, Fouad Slaoui Hasnaoui, et al. · (2025) | TGRS Research Map | TGRS