Publication Type : Journal Article
Publisher : African Journal of Scientific Research
Source : African Journal of Scientific Research, Volume 6, Issue 1, p.306-315 (2011)
Url : https://pdfs.semanticscholar.org/257a/8bda888800112691f48178db95693ab100ca.pdf
Keywords : Grid connected Photovoltaic system, Maximum power point tracking system and Proportional-Integral-Derivative (PID) Controller, Single phase five level inverter
Campus : Bengaluru
School : School of Engineering
Department : Electrical and Electronics
Year : 2011
Abstract : This paper 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 and A. Ali, N., “A Single phase Five level Inverter for Grid Connected Photovoltaic System by employing PID Controller”, African Journal of Scientific Research, vol. 6, no. 1, pp. 306-315, 2011.