An improved tracking algorithm for solar energy generation systems

Tun Chang Lu, Yu Xian Huang, Chao Hsing Hsu, Tien Szu Pan, Chung Lain Lu, Yi-Nung Chung

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This research develops an improved tracking algorithm for solar energy generation systems. In this paper, we use a control algorithm to control the tracking interval for perturbation and observation (P&O) algorithm. This tracking algorithm enables photovoltaic modules to achieve maximum efficiency under a variety of solar irradiation and temperature conditions. In order to verify the performance of this development, an experimental system circuit is designed in this paper. According to experiment, the system will produce fast, accurate, and effective tracking results.

Original languageEnglish
Pages (from-to)157-162
Number of pages6
JournalICIC Express Letters
Volume6
Issue number5
Publication statusPublished - 2012 May 1

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

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