Improved Performance of a Grid-Connected Inverter with Two PV Array Input under Different Environment Conditions using Adaptive Neuro Fis Based Control
Ankit Shukla1, Rajesh Kr Ahuja2, Bharti Thakur3

1Ankit Shukla, M. Tech Scholar, J.C. Bose UST, YMCA, Faridabad (Haryana), India.

2Rajesh Kr Ahuja, Faculty, Department of Electrical Engineering, J.C. Bose UST, YMCA, Faridabad, (Haryana), India.

3Bharti Thakur, Faculty, Department of Electrical Engineering, J.C. Bose UST, YMCA, Faridabad, (Haryana), India.

Manuscript received on 11 August 2023 | Revised Manuscript received on 04 October 2023 | Manuscript Accepted on 15 October 2023 | Manuscript published on 30 October 2023 | PP: 1-5 | Volume-10 Issue-10, October 2023 | Retrieval Number: 100.1/ijaent.A42801013123 | DOI: 10.35940/ijaent.A4280.10101023

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Abstract: Grid-connected inverters based on solar PV cells are becoming increasingly common. At times, the PV can be subjected to a certain environmental situation, such as varying irradiance or temperature. Present developments in gird-connected PV inverters do not have many reliable yields or reliability in this case. In this article, an improved control framework system is intended for two PV that are mismatched in various ways, resulting in a highly effective grid-connected solar inverter with THD under 1% for both voltage and current. The regulator employs a control scheme comprised of an ANFIS-based control system that works in tandem with the incremental conductance technique of MPPT. The outcomes are simulated and validated using MATLAB Simulink.

Keywords: Solar, ANFIS, 2 PV, Array
Scope of the Article: Renewable Energy Technology