| Issue |
E3S Web Conf.
Volume 638, 2025
International Conference on Electronics, Engineering Physics and Earth Science (EEPES 2025)
|
|
|---|---|---|
| Article Number | 02007 | |
| Number of page(s) | 10 | |
| Section | Renewable Energy and Green Technologies | |
| DOI | https://doi.org/10.1051/e3sconf/202563802007 | |
| Published online | 16 July 2025 | |
Assessment of RES impact on faults analysis in a weak interconnected power system
1 Institute of Energy, Environment and Climate Change, Hellenic Mediterranean University, 71410 Heraklion, Greece
2 Electrical and Computer Engineering Department, Hellenic Mediterranean University, 71410 Heraklion, Greece
* Corresponding author: karapidakis@hmu.gr
Fault analysis in power grids is a critical factor in ensuring the stability and reliability of power systems. Various approaches have been developed to address the complexity of fault detection, diagnosis and analysis. These methods range from traditional manual techniques to advanced artificial intelligence (AI) and machine learning models. In addition, approaches include simulation methods, analytical techniques and stochastic computation, which aim to understand the impact of different conditions on network performance. In this paper, PowerWorld software is used, which plays an important role in power grid fault simulation and analysis, providing valuable information for grid management and protection. In this study, the power world software has been used as a method of calculation and simulation of fault analysis in an interconnected electricity grid, where the effect of integration of RES is studied and three different penetration scenarios are considered.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.