Volume 30, Issue 3, May 2017, Pages 462–471
M. VIJAY1 and S. Vijayakumar2
1 Gnanamani College of Engineering, Anna University, Chennai, India
2 Department of Physics, Government College of Engineering, Dharmapuri-636704, Tamil Nadu, India
Original language: English
Copyright © 2017 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
An investigation into the design of a standalone photovoltaic water pumping system for supplying rural areas is presented. It includes a study of system components and their modelling. The PV water pumping system comprises a solar cell array, DC DC buck chopper and permanent magnet DC motor driving a centrifugal pump. Thesis focuses on increasing energy extraction by improving maximum power point tracking (MPPT). P&O MPPT algorithm is investigated which uses to automatically adjust stepsize to better track maximum power point. These use PV source output power and the speed of the DC pump motor as input variables. Both generate pulse width modulation (PWM) control signals to continually adjust the buck converter to maximize power from the PV array, and thus motor speed and the water discharge rate of a centrifugal pump. System elements are individually modelled in MATLAB/SIMULINK and then connected to assess performance under different PV irradiation levels. First, the MP&O MPPT technique is compared with the conventional direct method .The results show that the MP&O MPPT has faster dynamic response and eliminates oscillations around the MPPT under steady state conditions. The MPPT methods are implemented in the simulated PV water pumping system and compared. The results confirm that the new methods have improved energy extraction and dynamic tracking compared with simpler methods.
Author Keywords: pv, MPPT, DC- DC buck chopper, PWM, permanent magnet DC motor and centrifugal pump.
M. VIJAY1 and S. Vijayakumar2
1 Gnanamani College of Engineering, Anna University, Chennai, India
2 Department of Physics, Government College of Engineering, Dharmapuri-636704, Tamil Nadu, India
Original language: English
Copyright © 2017 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
An investigation into the design of a standalone photovoltaic water pumping system for supplying rural areas is presented. It includes a study of system components and their modelling. The PV water pumping system comprises a solar cell array, DC DC buck chopper and permanent magnet DC motor driving a centrifugal pump. Thesis focuses on increasing energy extraction by improving maximum power point tracking (MPPT). P&O MPPT algorithm is investigated which uses to automatically adjust stepsize to better track maximum power point. These use PV source output power and the speed of the DC pump motor as input variables. Both generate pulse width modulation (PWM) control signals to continually adjust the buck converter to maximize power from the PV array, and thus motor speed and the water discharge rate of a centrifugal pump. System elements are individually modelled in MATLAB/SIMULINK and then connected to assess performance under different PV irradiation levels. First, the MP&O MPPT technique is compared with the conventional direct method .The results show that the MP&O MPPT has faster dynamic response and eliminates oscillations around the MPPT under steady state conditions. The MPPT methods are implemented in the simulated PV water pumping system and compared. The results confirm that the new methods have improved energy extraction and dynamic tracking compared with simpler methods.
Author Keywords: pv, MPPT, DC- DC buck chopper, PWM, permanent magnet DC motor and centrifugal pump.
How to Cite this Article
M. VIJAY and S. Vijayakumar, “PHOTOVOLTAIC WATER PUMPING SYSTEM BASED ON MAXIMUM POWER POINT TRACKING TECHNIQUES,” International Journal of Innovation and Scientific Research, vol. 30, no. 3, pp. 462–471, May 2017.
