單軸追日太陽光發電系統在複雜環境的最佳發電控制研究

Abstract

本研究旨在能適應於各種安裝環境的單軸追日太陽光電系統最佳發電控制技術。 主要利用智能控制系統定期自動搜索一個使太陽電池產生最大發電功率的停駐角度，以降低安裝太陽電池時的環境干擾，使發電損失降到最低。 本研究在高樓頂的實際測試的單軸最佳控制技術，相較於單軸三角度追蹤，在春秋兩季採最大功率追蹤法(maximum-power tracking method)發電量平均提升6.2%、夏季提升12.6%及冬季提升33.7%。而在溫州街平房住家複雜環境利用直接搜索法相較於單軸三角度控制法及固定式太陽電池，發電量分別提升21%和68%。

The main purpose of this thesis is to develop a maximum-power generation control of single-axis sun tracking PV system to optimize power generation. The present study develops a single-axis maximum-power generation technique (1A-MPG) which tracks the sun for best stopping angle every hour. This stopping angle can reduce the shading or obtain the maximum solar radiation, in order to minimize the effect of environment disturbance and maximize power generation. The long-term test in high building results show that the overall PV energy generation can increase 6.2% in spring and autumn, 12.6% in summer and 33.7% in winter by using 1A-MPG compared to one-axis three-position sun tracking PV (1A-3P). Nonetheless, the test in complex home environment results show that overall PV energy generation by using radiation filtering direct search method compared to fixed-angle PV system increased by 68%, and compared to 1A-3P increased by 21%.