MAXIMUM POWER POINT TRACKING OF PHOTOVOLTAIC POWER GENERATION SYSTEM BASED ON FUZZY APPROXIMATION OF OPERATING POINT VOLTAGE WITH RADIATION INTENSITY

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IJADI H.; HAJIZADEH A.

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Journal Paper

Paper Information

Journal: COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING) Year:2012 | Volume:3 | Issue:2 Page(s): 73-86

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Title

MAXIMUM POWER POINT TRACKING OF PHOTOVOLTAIC POWER GENERATION SYSTEM BASED ON FUZZY APPROXIMATION OF OPERATING POINT VOLTAGE WITH RADIATION INTENSITY

Author(s)

IJADI H. | HAJIZADEH A. | Issue Writer Certificate

Keywords

MAXIMUM POWER POINTQ3

TRACKINGQ3

SOLAR PANELQ2

FUZZY SYSTEMQ2

CONTROLQ2

Abstract

In this paper, a method to track the maximum power of SOLAR PANELs based on fuzzy logic is presented. The proposed method is based on the relationship between radiation intensity and the voltage of maximum power operating point. With this relationship, at any time by measuring the light intensity, voltage can be calculated at the MAXIMUM POWER POINT by using fuzzy approximation function. In order to verify the proposed method, simulation results are presented.

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APA: Copy

IJADI, H., & HAJIZADEH, A.. (2012). MAXIMUM POWER POINT TRACKING OF PHOTOVOLTAIC POWER GENERATION SYSTEM BASED ON FUZZY APPROXIMATION OF OPERATING POINT VOLTAGE WITH RADIATION INTENSITY. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), 3(2), 73-86. SID. https://sid.ir/paper/203125/en

Vancouver: Copy

IJADI H., HAJIZADEH A.. MAXIMUM POWER POINT TRACKING OF PHOTOVOLTAIC POWER GENERATION SYSTEM BASED ON FUZZY APPROXIMATION OF OPERATING POINT VOLTAGE WITH RADIATION INTENSITY. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING)[Internet]. 2012;3(2):73-86. Available from: https://sid.ir/paper/203125/en

IEEE: Copy

H. IJADI, and A. HAJIZADEH, “MAXIMUM POWER POINT TRACKING OF PHOTOVOLTAIC POWER GENERATION SYSTEM BASED ON FUZZY APPROXIMATION OF OPERATING POINT VOLTAGE WITH RADIATION INTENSITY,” COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), vol. 3, no. 2, pp. 73–86, 2012, [Online]. Available: https://sid.ir/paper/203125/en

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