| Issue |
E3S Web of Conf.
Volume 405, 2023
2023 International Conference on Sustainable Technologies in Civil and Environmental Engineering (ICSTCE 2023)
|
|
|---|---|---|
| Article Number | 02024 | |
| Number of page(s) | 14 | |
| Section | Renewable Energy & Electrical Technology | |
| DOI | https://doi.org/10.1051/e3sconf/202340502024 | |
| Published online | 26 July 2023 | |
Experimental Investigation and Power Quality Analysis of Solar Micro-inverter for different Operating Conditions
1, 3 Department of Electronics & Telecommunication Engineering, Chhattisgarh Swami Vivekanand Technical University, Bhilai, India.
2, 4 Department of Electrical Engineering, National Institute of Technology, Raipur, India
5 Department of Electrical and Electronics Engineering, Amity University Uttar Pradesh, Noida, India
* Corresponding author: ektatamrakar@gmail.com
There has been a lot of focus in recent years on finding ways to incorporate renewable energy systems, especially solar photovoltaic (PV) systems, into the existing electrical grid. Power conversion technologies that are both efficient and reliable are in high demand due to the expanding popularity of solar photovoltaic (PV) systems. Micro-inverters, which are module-based inverters placed on individual PV modules, have grown in popularity in recent years due to their decentralized design. However, the integration of solar micro-inverter into the electrical grid presents power quality challenges. This research article presents an experimental investigation and power quality analysis of a solar micro-inverter under various operating conditions such as dust and shade.
Key words: Micro-Inverter / Solar Photovoltaic / Power Quality / Total Harmonic Distortion / Maximum Power Point
© The Authors, published by EDP Sciences, 2023
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.