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Solar PV System Energy Conservation Incorporating an MPPT based BLDC

Publication Type : Book Chapter

Publisher : LAP LAMBERT Academic Publishing

Source : LAP LAMBERT Academic Publishing (2018)

Url :

Keywords : Electricity, magnetism, optics

Campus : Bengaluru

School : School of Engineering

Department : Electrical and Electronics

Year : 2018

Abstract : This book proposes an effective Maximum Power Point Tracking (MPPT) controller being incorporated into a solar Photovoltaic system supplying a Brushless DC(BLDC) motor drive as the load. The MPPT controller makes use of a Genetic Assisted Radial Basis Function Neural Network based technique that includes a high step up Interleaved DC-DC converter. The BLDC motor combines a controller with a Proportional Integral (PI) speed control loop. MATLAB/Simulink has been used to construct the dynamic model and simulate the system. The solar Photovoltaic system uses Genetic Assisted–Radial Basis Function– Neural Network (GA-RBF-NN) where the output signal governs the DC-DC boost converters to accomplish the MPPT. This proposed GA-RBF-NN based MPPT controller produces an average power increase of 26.37% and faster response time.

Cite this Research Publication : Anand Rajendran, “Solar PV System Energy Conservation Incorporating an MPPT based BLDC”, in LAP LAMBERT Academic Publishing, 2018.

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