Issue |
MATEC Web Conf.
Volume 404, 2024
2024 2nd International Conference on Materials Engineering, New Energy and Chemistry (MENEC 2024)
|
|
---|---|---|
Article Number | 02004 | |
Number of page(s) | 8 | |
Section | Power Electronics, Intelligent Manufacturing, and Control in Energy Systems | |
DOI | https://doi.org/10.1051/matecconf/202440402004 | |
Published online | 24 October 2024 |
Overview of islanding detection based on power generation system
Energy Resources and Dynamical Engineering, Guangzhou Maritime University, 510725 Guangzhou, China
* Corresponding author: 1811030309@stu.hrbust.edu.cn
With the rapid development of electric power generation technology and the increasing complexity of electric power system, the problem of grid security has received widespread attention. The integration of a large number of distributed power sources such as power plants and substations into the grid has led to a significant increase in the load capacity requirements on the grid. Among them, detection of island effect becomes an indispensable and important detection means in every distributed gridconnected power generation system. This paper analyzes the working principle of the distributed grid-connected system and the detection method of island effect. It also summarizes the main detection techniques, including grid side detection, external switching capacitance detection and inverter side detection. When focusing on the inverter side detection technology inverter side detection has divided into active method and passive method. In this paper, the advantages and disadvantages of various detection techniques are discussed, and their applicability in different application scenarios is analyzed. At the same time, the differences in the detection standards of photovoltaic anti-island protection at home and abroad are compared, the influencing factors of anti-island test are analyzed, and how to solve practical problems through these technologies are discussed.
© The Authors, published by EDP Sciences, 2024
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.