Journal of Electrical Engineering and Electronic TechnologyISSN: 2325-9833

All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.

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

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


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.

Keywords: Intelligent power prediction; Maximum power point tracking; Photovoltaic generation

international publisher, scitechnol, subscription journals, subscription, international, publisher, science

Track Your Manuscript

Awards Nomination

Recommended Conferences

World Summit Biosensor and Bioelectronics

Hamburg, Germany

open access