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Performance Evaluation of Static PV Array Configurations for Mitigating Mismatch Losses | IEEE Journals & Magazine | IEEE Xplore

Performance Evaluation of Static PV Array Configurations for Mitigating Mismatch Losses


A graphical abstract for Performance Evaluation of Static PV Array Configurations for Mitigating Mismatch Losses.

Abstract:

Solar photovoltaic (PV) systems are susceptible to power loss caused by environmental factors such as partial shading and temperature changes. To address this issue, PV m...Show More

Abstract:

Solar photovoltaic (PV) systems are susceptible to power loss caused by environmental factors such as partial shading and temperature changes. To address this issue, PV modules are connected in array configurations. However, these configurations can lead to mismatch losses between the PV rows, which reduce power output. While there are many solutions to mitigate these losses, the performance of each solution can vary depending on the environmental conditions and the array configuration logic. This research paper evaluates the performance of fifteen existing static PV array configuration techniques under various shading patterns. We analyze the mathematical formulation and logic used behind each configuration, as well as the shade dispersion rate, power generation, power losses, advantages, and disadvantages. Our analysis includes a MATLAB/SimulinkⓇ model of a 5\times 5 array for each configuration under different shading patterns. The performance of consistent and best configurations is also evaluated in a real-time environment. The results categorize each configuration as consistent, best, average, or poor. This paper provides a detailed analysis of the different PV array configurations and their performance, which can help in selecting the optimal configuration for specific environmental conditions.
A graphical abstract for Performance Evaluation of Static PV Array Configurations for Mitigating Mismatch Losses.
Published in: IEEE Access ( Volume: 11)
Page(s): 47725 - 47749
Date of Publication: 09 May 2023
Electronic ISSN: 2169-3536

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