Performance Analysis of MPPT Algorithms Designed for Photovoltaic System
Shobha K P1, Usha A2, Prasanna Kumar H3

1Shobha K P, Department of Electrical Engineering, BMSCE, Bengaluru (Karnataka), India
2Usha A, Department of Electrical Engineering, BMSCE, Bengaluru, (Karnataka), India.
3Dr. Prasanna Kumar H, Department of Electrical Engineering, UVCE, K.R. Circle, Bengaluru (Karnataka), India.
Manuscript received on 18 March 2023 | Revised Manuscript received on 27 March 2023 | Manuscript Accepted on 15 April 2023 | Manuscript published on 30 April 2023 | PP: 69-76 | Volume-12 Issue-4, April 2023 | Retrieval Number: 100.1/ijeat.D40840412423 | DOI: 10.35940/ijeat.D4084.0412423

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Abstract: The capacity to reap the highest output power in various environmental conditions is one of the most critical tasks in the application of photovoltaic (PV) systems. Although many cutting-edge methods have been developed to accomplish this, the majority of methods have significant drawbacks, for instance, poor tracking capabilities and heavy computational load. Therefore, the aim of this work is to present a control algorithm that takes into account the connection between the solar array output power and the controller’s PWM duty cycle of the MPPT boost converter. The proposed customized CNN is implemented in MATLAB/SIMULINK and compared with well known for its performance. The findings demonstrate an increase in the PV system’s ability to generate power in any weather, as well as a reduction in the effects of rapid changes in solar irradiation on output power. 
Keywords: Photovoltaic, Maximum Power Point Tracking, Perturb and Observe Method, Customized CNN
Scope of the Article: CNN