Intelligent Controllers to Extract Maximum Power for ۱۰ KW Photovoltaic System
Publish Year: 1401
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJE-35-4_029
تاریخ نمایه سازی: 10 اردیبهشت 1401
Abstract:
This research looks at how photovoltaic (PV) cells generate energy in different weather conditions. Photovoltaic power today plays a key role in the production of energy and satisfying the needs of consumers all over the world. The PV cell's ability to generate electricity was entirely dependent on sunshine and temperature fluctuations in the environment. Several researchers are working on a variety of MPPT methods for a photovoltaic system. Outdated MPPT techniques are unable to withstand a dramatic change in weather conditions. The fundamental purpose of this study is to associate the numerous unadventurous and clever controllers for MPPT of the PV system, such as the PSO, GA, and CNFF. The MATLAB environment was used to create and simulate the recommended intelligent controller for MPPT in the PV system. Furthermore, the aforementioned findings like Voltage, Current and Power with respect to different irradiance and temperature are compared and evaluated. The performance of the above-mentioned topologies has been related to the optimum intelligent controller for the PV system and cncluded that the CFFNN gives better efficiency with minimum time required to extract.
Keywords:
Intelligent Controller , Cascaded Feed Forward Neural Network , Particle Swam Optimization , Genetic Algorithm , Maximum Power Point , Photovoltaic
Authors
M. Rupesh
BVRIT HYDERABAD College of Engineering for Women, Electrical & Electronics Engineering, Hyderabad, India
T. S. Vishwanath
Electronics & Communication Engineering, Bheemanna Khandre Institute of Technology Bhalki, India
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