Published October 30, 2023 | Version CC BY-NC-ND 4.0
Journal article Open

Improved Performance of a Grid-Connected Inverter with Two PV Array Input under Different Environment Conditions using Adaptive Neuro Fis Based Control

Creators

  • 1. J.C. Bose UST, YMCA, Faridabad (Haryana), India.

Contributors

Contact person:

  • 1. M. Tech Scholar, J.C. Bose UST, YMCA, Faridabad (Haryana), India.
  • 2. Faculty, Department of Electrical Engineering, J.C. Bose UST, YMCA, Faridabad, (Haryana), India.
  • 3. Faculty, Department of Electrical Engineering, J.C. Bose UST, YMCA, Faridabad, (Haryana), India

Description

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.

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Additional details

Identifiers

Dates

Accepted
2023-10-15
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.

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