現今太陽能板的安裝成本大幅降低，因此太陽能的優勢是促進燃煤電力轉向再生能源發電的原因之一。目前市面上有三種廣泛被使用的太陽能板材質：單晶矽，多晶矽和非晶矽。在本文中，我們建立三種不同材質的一個二極管模型以便在部分遮陰情況下找到它們的IV特性曲線。

在本文中，我們已經證明ODM的理想因子與PV曲線的曲率有密切相關。我們還證明了因為非晶矽的太陽能板有最低的曲率值，導致最大功率點追蹤器在追蹤非晶矽的太陽能板時，相比單晶矽和多晶矽的太陽能板所花費的時間還要少且有更好的追蹤效率。本文採用兩種不同的最大功率點追蹤演算法分別為粒子群最佳化演算法和模擬退火演算法來驗證這個發現。

The cost of installing solar panels has been greatly reduced nowadays, so the advantages of solar energy are one of the reasons to energy transformation from coal-fired power to renewable energy. There are three materials of widely used modern solar panels: monocrystalline, polycrystalline, and amorphous. In this thesis, we have constructed the one diode models (ODM) of these three different materials in order to find their IV characteristic curves under uniform or partial shading condition (PSC).

In this thesis, we have showed that the ideality factor from the ODM is closely related the curvatures of the PV curves. We have also demonstrated that a maximum power point (MPP) tracker spends less time and has better tracking efficiency in tracking the MPP of a PV panel, made of amorphous material, because this type of PV panel has the lowest curvature value compared to the monocrystalline and the polycrystalline panels. Two different maximum power point tracking (MPPT) algorithms, such as particle swarm optimization (PSO) and simulated annealing (SA), are used to validate this finding.

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