Design and Analysis of ANFIS Controller based Photovoltaic System
The manuscript describes the design and analysis of the ANFIS Controller based Solar PV System. The proposed system consists of PV array, Adaptive Neuro-Fuzzy Inference System (ANFIS) controlled Tripple Lift Luo Converter (TLLC), H5 Transformer-less inverter and Multi Carrier Sinusoidal Pulse Width Modulation (MCSPWM). The TLLC lift the voltage by implementing the LC ladder technique. The flexible and adaptive solutions to enhances the DC-DC conversion with higher voltage gains, efficiency and robustness are the reason for the selection of the TLLC. The control strategy for the TLLC is considered using the ANFIS controller. The ANFIS and MCSPWM validates its implementation by enhancing the stability, accuracy, diminishing the THD and improves the overall system efficiency during nonlinearity.
Authors
- Sayaprasad Mohapatra (ORCID: https://orcid.org/0000-0002-9455-9635)
- Lalit Mohan Satapathy (ORCID: https://orcid.org/0000-0002-4469-2139)
- Manoj Kumar Debnath (ORCID: https://orcid.org/0000-0003-4752-7152)
- Akshaya Kumar Patra (ORCID: https://orcid.org/0000-0002-0155-5388)
- Narayan Nahak (ORCID: https://orcid.org/0000-0002-3461-8154)
- Sanjeeb Kumar Kar (ORCID: https://orcid.org/0000-0001-7436-6476)
Institutions
- Integrated Test Range (IN)
Publication Details
- Published
- 2024-11-08
- DOI
- https://doi.org/10.1109/odicon62106.2024.10797526
- Citations
- 1
- Primary Topic
- Power Systems and Renewable Energy
- Type
- article
- Field-Weighted Citation Impact
- 0.17