Modeling and Simulation of an Intelligent Power Conversion System for Photovoltaic Generation
T. Hemanth Kumar1, P. Swaminathan2, M. Mohanraj3
1T. Hemanth Kumar, Dept. of Electrical & Electronics Engineering, Karunya University, Coimbatore, (Tamil Nadu), India.
2P.Swaminathan, Dept. of Electrical & Electronics Engineering, Karunya University, Coimbatore, (Tamil Nadu), India.
3M. Mohanraj, Dept. of Electrical & Electronics Engineering, Karunya University, Coimbatore, (Tamil Nadu), India.
Manuscript received on March 24, 2014. | Revised Manuscript received on April 14, 2014. | Manuscript published on April 30, 2014. | PP: 4-8 | Volume-3, Issue-4, April 2014. | Retrieval Number: C2694023314/2013©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper represents a simulation and design of two types of Maximum Power Point Tracking (MPPT) algorithm methods is proposed. Here the PV system is composed to a boost converter which can perform with those algorithm methods. In this the algorithm methods are Perturb and Observe (P&O) and Probability of Neural Network (PNN). The probability of neural network which can be deals with the neurons and can be included the neural based Maximum Power Point Tracking. By using these different MPPT techniques we can maximize the PV array output which can be track continuously from the solar panel’s temperature and irradiation. These MPPT techniques can be explained by using the MATLAB.
Keywords: Solar Module, Maximum Power Point Tracking (MPPT), Perturb and Observe (P&O) and Probability of Neural Network (PNN).