A Photovoltaic System Maximum Power Point Tracking Techniques Comparison under Variable Atmospheric Condition

Main Article Content

Mashal Khan
Atif Sardar Khan
Sadaf Sardar
M. Iftikhar Khan

Abstract

Photovoltaic (PV) systems are increasingly popular as a renewable energy source due to their ability to directly convert sunlight into electricity. However, despite their numerous advantages, PV systems are susceptible to the negative impacts of partial shading. This can significantly affect the operational efficiency and energy output of the systems. When a PV system is some part is under shading and other receive direct light is known as partial shading. This shading can be caused by nearby structures, vegetation, or other objects that block sunlight and cast shadows on the system. Shading reduces the electrical output of shaded cells, degrading the PV system performance. Temperature and the intensity of sunlight also effects the PV modules efficiency. To increase the PV systems performance an algorithm utilized is Maximum Power Point Tracking (MPPT). The MPPT algorithm track the panels' maximum power point (MPP), which signifies the power generation capability. Through its adaptive nature, the MPPT algorithm maximizes power extraction from solar panels by adapting to varying environmental conditions for enhanced efficiency. Perturb and Observe (P&O), Incremental Conductance (InC), and Fuzzy logic algorithm represent different types of MPPT algorithms designed to maximize the power output of a solar photovoltaic (PV) system. These algorithms employ various methods to determine the Maximum Power Point (MPP), aiming to optimize the electricity generation from the PV system. By continuously monitoring and adjusting the operating point, the MPPT algorithm has an important role to ensure the efficient operation of a PV system. Utilizing the appropriate MPPT algorithm can enhance the system's utilization of solar energy and improve its overall performance. Researchers often use MATLAB/SIMULINK software for modeling and analyzing PV systems, especially in the context of a 1 kW system under alternative environmental circumstances.

Article Details

How to Cite
Khan, M., Khan, A. S., Sardar, S., & Khan, M. I. (2024). A Photovoltaic System Maximum Power Point Tracking Techniques Comparison under Variable Atmospheric Condition. Zhongguo Kuangye Daxue Xuebao, 29(3), 291-303. https://zkdx.ch/journal/zkdx/article/view/110
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Articles

How to Cite

Khan, M., Khan, A. S., Sardar, S., & Khan, M. I. (2024). A Photovoltaic System Maximum Power Point Tracking Techniques Comparison under Variable Atmospheric Condition. Zhongguo Kuangye Daxue Xuebao, 29(3), 291-303. https://zkdx.ch/journal/zkdx/article/view/110

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