A novel algorithm for single-axis maximum power generation sun trackers

作者:Lee Kung Yen; Chung Chi Yao; Huang Bin Juine; Kuo Ting Jung; Yang Huang Wei; Cheng Hung Yen; Hsu Po Chien; Li Kang
来源:Energy Conversion and Management, 2017, 149: 543-552.
DOI:10.1016/j.enconman.2017.07.041

摘要

The purpose of this study is to develop a novel algorithm for a single-axis maximum power generation sun tracker in order to identify the optimal stopping angle for generating the maximum amount of daily electric energy. First, the photovoltaic modules of the single-axis maximum power generation sun tracker are automatically rotated from 50 degrees east to 50 degrees west. During the rotation, the instantaneous power generated at different angles is recorded and compared, meaning that the optimal angle for generating the maximum power can be determined. Once the rotation (detection) is completed, the photovoltaic modules are then rotated to the resulting angle for generating the maximum power. The photovoltaic module is rotated once per hour in an attempt to detect the maximum irradiation and overcome the impact of environmental effects such as shading from cloud cover, other photovoltaic modules and surrounding buildings. Furthermore, the detection range is halved so as to reduce the energy consumption from the rotation operations and to improve the reliability of the sun tracker. The results indicate that electric energy production is increased by 3.4% in spring and autumn, 5.4% in summer, and 8.3% in winter, compared with that of the same sun tracker with three fixed angles of 50 degrees east in the morning, 0 degrees at noon and 50 degrees west in the afternoon.

  • 出版日期2017-10-1