New Resources for Undergraduate Power Systems Laboratory

Development of the smart grid and renewable energy generation has been substantially changing the undergraduate education in fundamental power systems.Many new programs in power systems engineering are focused on cross-disciplinary for students not only in traditional electrical engineering, but also in non-electrical engineering, such as computer and information sciences, telecommunication and systems engineering.It is a challenge for these new programs to provide laboratory training of undergraduate students because of the restrictions of physical experimental resources in a power systems laboratory.This paper discusses the new resources for undergraduate power systems laboratories by including the big data generated from smart grids and online information and data of power grid operation.

Authors

Institutions

Publication Details

Published
2025-02-18
DOI
https://doi.org/10.18260/1-2-1153-51299
Primary Topic
Experimental Learning in Engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

New Resources for Undergraduate Power Systems Laboratory

Min Xie, Jing Zhang
Experimental Learning in Engineering
article

New Resources for Undergraduate Power Systems Laboratory

Min Xie, Jing Zhang
article en

Abstract

Development of the smart grid and renewable energy generation has been substantially changing the undergraduate education in fundamental power systems.Many new programs in power systems engineering are focused on cross-disciplinary for students not only in traditional electrical engineering, but also in non-electrical engineering, such as computer and information sciences, telecommunication and systems engineering.It is a challenge for these new programs to provide laboratory training of undergraduate students because of the restrictions of physical experimental resources in a power systems laboratory.This paper discusses the new resources for undergraduate power systems laboratories by including the big data generated from smart grids and online information and data of power grid operation.

University of Arkansas at Little Rock (US)
Affordable and clean energy
Openalex Percentile: Top 96%
Experimental Learning in Engineering
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.