• Anil kumar
• Dr. Loveleen Kaur

In this paper, a new and effective method is designed that is based on the Neuro-fuzzy or ANFIS system along with the MPPT algorithm. A literature survey is conducted which shows that by using the MPPT algorithms along with the solar PV panels the voltage can be regulated and provide effective results. However, these methods have certain drawbacks which include complexity which degraded their overall performance. In addition to this, the biggest concern for experts was to charge EV when solar irradiance is decreased to zero. For this the proposed model used a fuel cell as an alternative source of energy and is responsible for providing enough power to EV battery in absence of sunlight. This is done efficiently by using the switching module in the suggested method. The efficiency of the proposed ANFIS-MPPT based model is validated and compared with the conventional P&O methods in the MATLAB Simulink software. The simulated outcomes proved that the proposed model is effective in charging the batteries of EVs.

MPPT Systems, Intelligence in electrical systems, Power systems, P&O method

"INTELLIGENT CONTROL OF MPPT FOR PHOTOVOLATIC AND FUEL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.e376-e382, July-2021, Available :http://www.jetir.org/papers/JETIR2107557.pdf

"INTELLIGENT CONTROL OF MPPT FOR PHOTOVOLATIC AND FUEL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppe376-e382, July-2021, Available at : http://www.jetir.org/papers/JETIR2107557.pdf