太陽能發電系統由於無燃料消耗、維護成本低及環境永續的優勢使得在市場受到歡迎。而當太陽能發電系統安裝於照度極具變化的地區，為了可以最大限度使用太陽能量，最大功率追蹤對太陽能發電系統來說是最重要的部分之一。如果太陽能發電系統無法立即控制於最大功率點會造成一定的功率損失，因此開發一具有快速追蹤功能之最大功率追蹤演算法是十分重要的。
本文實際完成了一新型兩階段式最大功率追蹤演算法。為了確保擁有精準及快速的追蹤能力，本方法結合了擾動觀察法以及基於數學模型之狀態估測技術。為了驗證本文所提之方法之正確性，本文實際完成一600W的最大功率追蹤電路。實驗結果證實與固定步階式擾動觀察法和變動式步階擾動觀察法相比，本方法的追蹤速度分別提高了84.6%和76%。此外，追蹤電能損失也分別減少了68.48%和47.5%。

Photovoltaic generation system (PGS) gains popularity in the market due to the advantages of free fuel consumption, low maintenance cost and environmental sustainability. For PGS, maximum power point tracking (MPPT) is one of the essential part since it can maximize the utilization of solar energy when the PGS is installed in the area with rapidly changing irradiance. There is certain amount of energy loss if MPPT system fails to instantly operate at the MPP. Consequently, it is very crucial to develop a novel MPPT method featuring fast tracking. In this thesis, a novel two-stage MPPT technique is proposed. The proposed method combines the well-known perturb and observe (P&O) method and model-based state estimation technique to ensure an accurate and high speed tracking. To validate the proposed MPPT algorithm, a 600 W prototyping circuit is also constructed. Comparing with conventional P&O method and variable step-size P&O method, the tracking speed of the presented method can be improved by 84.6 % and 76 %, respectively. In addition, the tracking energy loss can be improved by 68.48 % and 47.5 %, respectively.

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