| Issue |
E3S Web of Conf.
Volume 540, 2024
1st International Conference on Power and Energy Systems (ICPES 2023)
|
|
|---|---|---|
| Article Number | 01016 | |
| Number of page(s) | 10 | |
| Section | Standalone PV and Wind Power Supply Systems | |
| DOI | https://doi.org/10.1051/e3sconf/202454001016 | |
| Published online | 21 June 2024 | |
Advancement in techniques towards power quality improvement in Microgrid system: A comprehensive review
1 Department of Electrical Engineering, NIT Jamshedpur, Jharkhand, India .
2 School of Electrical Engineering, KIIT Bhubaneswar, Odisha, India .
3 Department of Electrical Engineering, NIT Jamshedpur, Jharkhand, India .
4 Department of Electrical Engineering, NIT Jamshedpur, Jharkhand, India .
* Bikash Pattanayak: bikash.luna@gmail.com
Power quality is one of the prime views of modern energy schemes. Renewable-energy-based microgrids offer an attractive solution for improving the power quality of remote or isolated areas while diminishing greenhouse gas discharges. However, incorporating renewable energy origins into the grid can introduce significant challenges, mainly power fluctuations, voltage instability, harmonics, and frequency deviation. Here, a literature-based study has been done on the power quality improvement in microgrid. This review paper analyses 30 literature review papers published between 2018 to 2022, focusing on power quality improvement in recoverable -energy-based Microgrids. It also analyses the different techniques, simulation environments, and controllers used in each research work. Moreover, the advantages and research gaps in the collected research articles are also analyzed. Ultimately, the research gaps identified are also mentioned to assist future researchers in developing a novel and efficient approach for power quality improvement in microgrid-based systems.
© 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.