隨著人口急遽上升，全球所消耗的能源也大幅增加使全球暖化的速度增快。目前各國政府投入許多資源於再生能源發展以解決氣候變遷問題，其中太陽能發電備受矚目。太陽能具有對環境友善和容易取得的特點，使其成為再生能源發電的重要發展方向。然而，目前太陽能發電也面臨著一些困難與挑戰，當太陽能電池系統處於部分遮蔭狀況(Partial Shading Condition, PSC)下時，其輸出特性曲線會從單一峰值變為多峰值，對部分遮蔭系統進行最大功率點追蹤(Maximum Power Point Tracking, MPPT)，就會相對複雜及困難許多，所以許多傳統的MPPT技術並不適合應用在PSC下。因此，許多用來解決複雜最佳化問題的軟計算型演算法被提出來解決此一問題。
本文共整理了14種應用於PSC下之軟計算型全域最大功率點追蹤(Global Maximum Power Point Tracking, GMPPT)演算法。為求比較公平性，本文先基於太陽能模組電氣參數建構一通用GMPPT模擬平台，接著在模擬平台上針對2002種可重複照度之部分遮蔭樣式，執行各種GMPPT演算法並獲得其追蹤性能指標，再使用無母數統計方法比較差異並呈現結果供讀者參考。
關鍵字：部分遮蔭狀況、最大功率點追蹤、全域最大功率點追蹤、軟計算型演算法

With the rapid increase in population, global energy consumption has significantly risen, accelerating the pace of global warming. Governments worldwide are dedicating considerable resources to the development of renewable energy to address climate change issues, with solar energy generation attracting significant attention. Solar power is environmentally friendly and easily accessible, making it a crucial direction for the development of renewable energy generation. However, solar energy generation are facing some challenges. One of the difficulties arises when solar photovoltaic systems experience partial shading conditions (PSC), causing their output characteristics to shift from a single peak to multiple peaks. Implementing Maximum Power Point Tracking (MPPT) in such partially shaded systems becomes more complex and challenging. Consequently, many conventional MPPT techniques are not suitable for applications under PSC. To address this issue, numerous soft computing algorithms, commonly used for complex optimization problems, have been proposed.
This paper compiles 14 soft computing-based Global Maximum Power Point Tracking (GMPPT) algorithms for use under PSC. To ensure fairness in the comparison, a generic GMPPT simulation platform is constructed based on the electrical parameters of solar modules. Subsequently, various GMPPT algorithms are tested on this platform for 2002 replicable partial shading patterns under varying irradiance conditions. The performance metrics of each tracking algorithm are obtained, and nonparametric statistical methods are employed to compare the differences and present the results for the readers' reference.
Keywords: Partial Shading Condition, Maximum Power Point Tracking, Global Maximum Power Point Tracking, Soft Computing Algorithm

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