太陽能發電系統具備低汙染、無燃料成本、低維護需求與永續發
展等優勢，但因目前光伏轉換效率低，在環境因素變動時，常使其電
力輸出降低，因此如何獲取太陽能電池之最大功率輸出對太陽能發電
系統是非常重要的，之前文獻已提出許多最大功率追蹤技術並加以實
現。當太陽能發電系統安裝於照度與溫度急遽變化的地區時，其輸出
功率會因環境因素產生劇烈變化，以目前最大功率追蹤技術無法立即
追蹤至最大功率點上，導致太陽能電池輸出功率損失，因此開發具有
快速追蹤能力之最大功率追蹤演算法是很重要的議題。
本文提出一種新型兩階段最大功率追蹤技術。所提出之方法結合
α 因子擾動觀察法與利用太陽能模組特性方程式來估測操作條件，以
確保快速追蹤及高追蹤精確度。為了驗證所提之方法正確性，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、變動式步階擾動觀察法與Alpha 因子擾動觀察法相比，本
方法的追蹤速度分別改善了92.5 %、87.5 %與77.8 %，而追蹤電能損
失也分別減少了85.8%、76.7%和70.7%。

Photovoltaic generation system (PGS) gains its 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 dissertation, a novel two-stage MPPT technique is proposed.
The proposed method combines the α-factor perturb and observe (P&O)
method and utilized the characteristic equation of PV module for
estimating the operation condition and ensuring 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,
variable step-size P&O method and α-factor P&O method, the tracking
speed of the presented method can be improved by 92.5 %, 87.5 % and
77.8 %, respectively. In addition, the tracking energy loss can be improved
by 85.8 %, 76.7 % and 70.7 %, respectively.

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