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Journals / International Journal Of Renewable Energy Research / 2015 / Cilt: 5 Sayı: 4

Adaptive Fuzzy Logic based MPPT Control for PV System Under Partial Shading Condition

Subhashree CHOUDHURY
Pravat Kumar ROUT
Pages
1252–1263
Publication Date
2015-12-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

For justifying the efficacy of the proposed MPPT technique a comparative analysis has been done with two popular MPPT techniques.

📌 3 Key Takeaways

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Objective & Hypothesis:Partial shading causes power loss, hotspots and threatens the reliability of the Photovoltaic generation system.
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Key Findings & Data:Moreover characteristic curves exhibit multiple peaks.
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Conclusion & Impact:For justifying the efficacy of the proposed MPPT technique a comparative analysis has been done with two popular MPPT techniques.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Partial Shading · PV system · Maximum Power Point Tracking(MPPT)

Abstract

Partial shading causes power loss, hotspots and threatens the reliability of the Photovoltaic generation system. Moreover characteristic curves exhibit multiple peaks. Conventional MPPT techniques under this condition often fail to give optimum MPP. Focusing on the afore mentioned problem an attempt has been made to design an Adaptive Takagi-Sugeno Fuzzy Inference System based Fuzzy Logic Control MPPT.The mathematical model of PV array is simulated using in MATLAB/Simulink environment.Various case studies related to inhomogeneous insolation and temperature has been investigated. For justifying the efficacy of the proposed MPPT technique a comparative analysis has been done with two popular MPPT techniques.

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Cite This Article

CHOUDHURY, S., ROUT, P. K. (2015). Adaptive Fuzzy Logic based MPPT Control for PV System Under Partial Shading Condition. International Journal Of Renewable Energy Research, Cilt: 5 Sayı: 4, 1252–1263. https://ajindex.com/articles/996268

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