本文提出一種新型變動步階增量電導法最大功率追蹤技術，所提追蹤方法具有自適應縮放因子之特性，利用狀態估測技術來估測太陽能電池工作環境照度，然後經由狀態估測獲得的環境照度，選擇對應之縮放因子來改善最大功率點的追蹤效能，所提追蹤方法不需要額外增加照度計和溫度感應器，只要量測在任何兩個不同時間點上的電壓和電流值來進行照度估測，然後選擇對應照度下理想的縮放因子進行追蹤，就可以實現快速精確的最大功率點追蹤，改善傳統變動步階增量電導法的追蹤性能。
本文設置了一個600 W的原型電路來驗證所提追蹤方法，並使用實驗電路驗證了其追蹤性能，與傳統變動步階增量電導法在相同測試條件下互相比較，在追蹤時間縮短了31.8 %而追蹤精確度也分別提高了2.1 %和3.5 %，除此之外追蹤過程能量損失則分別減少了43.9 %和29.9 %。

In this research, a novel variable step size (VSS) incremental conductance (INC) method with an adaptive scaling factor is proposed. The proposed technique utilizes the model-based state estimation method to calculate the irradiance level and then determine an appropriate scaling factor accordingly to enhance the capability of maximum power point tracking (MPPT), the fast and accurate tracking can be achieved by the presented method without the need for extra irradiance and temperature sensors. Only the Voltage-and-current sets of any two operating points on the characteristic curve are needed to estimate the irradiance level. By choosing a proper scaling factor, the performance of the conventional Variable Step Size incremental conductance method can be improved.
To validate the studied algorithm, a 600 W prototyping circuit is constructed and the performances are demonstrated experimentally. Compared to conventional Variable Step Size incremental conductance method under the tested conditions, the tracking time is shortened by 31.8 %. The tracking accuracy is also improved by 2.1 % and 3.5 %, respectively. Besides, tracking energy loss is reduced by 43.9 % and 29.9 %, respectively.

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