| Issue |
E3S Web Conf.
Volume 472, 2024
International Conference on Renewable Energy, Green Computing and Sustainable Development (ICREGCSD 2023)
|
|
|---|---|---|
| Article Number | 01007 | |
| Number of page(s) | 8 | |
| Section | Smart and Energy Efficient Systems | |
| DOI | https://doi.org/10.1051/e3sconf/202447201007 | |
| Published online | 05 January 2024 | |
Review on the Electric Spring Connected to the Renewable Energy System to Minimize Harmonics and Voltage Profile Enhancement
1 Research scholar, School of Electrical and Electronics Engineering, Sathyabama Institute of Science & Technology, Chennai, 600119, India
2 Associate Professor, School of Electrical and Electronics Engineering, Sathyabama Institute of Science & Technology, Chennai, 600119, India
3 Assistant Professor, Department of Electrical and Electronics Engineering, Vidya Jyothi Institute of Technology, Hyderabad, 500075 India
4 Assistant Professor, Department of Electrical and Electronics Engineering, Vidya Jyothi Institute of Technology, Hyderabad, 500075, India
* Corresponding author: naag198222@gmail.com
The emerging smart grid technology known as Electric Spring (ES) has been employed previously to maintain voltage and power stability in renewable energy-based grids that are minimally regulated or self-contained. This study thoroughly investigated the foundational theories, modeling approaches, practical uses, and restrictions associated with Electric Springs by analyzing existing Scholarly works in this domain Electric Springs implement a direct power control approach. solution for the next-generation single-phase Systems, addressing the limitations of current ES control methods. This solution aims to improve power management in microgrids, where integrating renewable energy sources (RESs) poses challenges due to the unpredictable power output. The challenge involves managing two aspects: the variable Power consumed by ES and the power fed into the grid. The suggested straightforward and accurate signal manipulation method, namely, ANN-based Electric Spring (ES), is set to be deployed. This technique can adeptly manage these aspects in both stable conditions and during transitions in Renewable Energy Sources (RES).
© 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.
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