Issue |
E3S Web Conf.
Volume 472, 2024
International Conference on Renewable Energy, Green Computing and Sustainable Development (ICREGCSD 2023)
|
|
---|---|---|
Article Number | 01012 | |
Number of page(s) | 10 | |
Section | Smart and Energy Efficient Systems | |
DOI | https://doi.org/10.1051/e3sconf/202447201012 | |
Published online | 05 January 2024 |
Solar Fed 15 Level Cascaded Multilevel Inverter with ANFIS Control Strategy for Enhancement of Power Quality
1 Department of EEE, B V Raju Institute of Technology, Narsapur, Telangana, 502313 India
2 Department of EEE, School of Engineering, Presidency University, Itigyalpura Rajankunte, Bangalore 560064, India
* Corresponding author: mahesh.k@bvrit.ac.in
Solar PV energy conversion systems suffer from degraded power quality issues because of harmonics in the system. In order to eliminate harmonics, this paper focuse on a solar-powered 15-level cascaded inverter. A number of controllers such as PI, Fuzzy Logic Neural Network and ANFIS are used in this study in order to manage the PWM frequency (Proportional Integral, Fuzzy Logic, NN and Adaptive Neuro Fuzzy Inference System, respectively). A PV-fed 15-level cascaded multilevel inverter for power quality improvement will be developed by using an ANFIS controller. The suggested ANFIS controller has a lower harmonic distortion than conventional controllers; hence the quality of the power improves. The PI, FL, ANN, and ANFIS controllers simulated results are analysed in MATLAB.
Key words: ANN / ANFIS / Power Quality / Photo Voltaic (PV) / Cascaded Multilevel Inverter and Fuzzy Logic (FL)
© 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.