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Hindi Review Article, J Electr Eng Electron Technol Vol: 7 Issue: 1
Photovoltaic Power Tracking Techniques with Intelligent Prediction
Baig AA*, Yang XX and Yang MS
College of Electrical and Information Technology, Changsha University of Science and Technology, China
*Corresponding Author : Baig Ammad Anwar
College of Electrical and Information Technology, Changsha University of science and technology Changsha, Hunan-410004, China
Tel: +(86) 13787169647
E-mail: 1472160728@qq.com
Received: December 18, 2017 Accepted: January 23, 2018 Published: February 01, 2018
Citation: Baig AA, Yang XX , Yang MS (2018) Photovoltaic Power Tracking Techniques with Intelligent Prediction. J Electr Eng Electron Technol 7:1. doi: 10.4172/2325-9833.1000154
Abstract
Prediction of photovoltaic (PV) power output has become more important recently. PV power completely depends on solar cell working conditions, which are directly connected to the weather. So, to get the maximum power output from the system many maximum power point tracking (MPPT) techniques have been introduced, but in this paper, MPPT techniques with intelligent algorithm have been discussed. These techniques are mathematically modeled and presented in such a way that the appropriate application could be chosen. A comparative table is presented at the end of the paper to simplify the classification of the different techniques.
