scholarly journals Design and simulation of maximum power point tracking (MPPT) system on solar module system using constant voltage (CV) method

2016 ◽  
Author(s):  
Sevty Satria Bhatara ◽  
Reza Fauzi Iskandar ◽  
M. Ramdlan Kirom
Keyword(s):  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Constant Voltage ◽  
Maximum Power Point ◽  
Solar Module ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point ◽  
Module System

scholarly journals DSPACE Real-Time Implementation of MPPT-Based FLC Method

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Abdullah M. Noman ◽  
Khaled E. Addoweesh ◽  
Hussein M. Mashaly
Keyword(s):  
Real Time ◽  
Fuzzy Logic Controller ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Solar Module ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Maximum power point trackers are so important in photovoltaic systems to improve their overall efficiency. This paper presents a photovoltaic system with maximum power point tracking facility. An intelligent fuzzy logic controller method is proposed in this paper to achieve the maximum power point tracking of PV modules. The system consists of a photovoltaic solar module connected to a DC-DC buck-boost converter. The system is modeled using MATLAB/SIMULINK. The system has been experienced under disturbance in the photovoltaic temperature and irradiation levels. The simulation results show that the proposed maximum power tracker tracks the maximum power accurately and successfully in all conditions tested. The MPPT system is then experimentally implemented. DSPACE is used in the implementation of the MPPT hardware setup for real-time control. Data acquisition and control system is implemented using dSPACE 1104 software and digital signal processor card. The simulation and practical results show that the proposed system tracked the maximum power accurately and successfully under all atmospheric conditions.

Study of Maximum Power Point Tracking Control Based on GRNN Neural Network

2014 ◽  
Vol 989-994 ◽  
pp. 3427-3432
Author(s):  
Kun Liu ◽  
Tong Zhou Ji ◽  
Xian Yun Li ◽  
Xiong Feng He ◽  
Mei Zhang
Keyword(s):  
Neural Network ◽  
Control Strategy ◽  
Tracking Control ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Constant Voltage ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

detailed analysis of mathematical model, expounded maximum power point tracking (MPPT) control principle, then a improved constant voltage tracking of maximum power point tracking control based on GRNN neural network is proposed, this control strategy uses predicted voltage of GRNN neural network to instead of constant voltage, has be simulated in Matlab /Simulink, and result is this MPPT method can be more accurate compared to traditional control strategy.

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