本論文提出一個結合擾動觀察法(Perturbation and Observation Method, P&O)與粒子群最佳化法(Particle Swarm Optimization Method,PSO)之混合法，改善只有粒子群最佳化法於太陽能最大功率追蹤時收斂速度過慢的問題。擾動觀察法原理簡單且容易實現，於無部份遮蔭之情境下具有良好之效能，但於部份遮蔭時則有機會陷入局部最大點；粒子群最佳化法在部份遮蔭之狀況下可以找到全域最大功率點(Global maximum power point)，然而其過慢之收斂速度在面對照度快速變化時可能會失敗。結合此兩種方法卻可保有兩者之特點並消除其缺點。
本文利用太陽能模擬機模擬出三條不同照度且有部份遮蔭現象之特性曲線，電力架構使用交錯式直流升壓轉換器(Interleaved boost converter)，輸出端以定電壓源代替直流匯流排(DC bus)，並用電阻性負載放電，控制器則採用數位信號處理器(DSP)TMS320F28035 作為控制核心，比較混合法與原有粒子群最佳化法之收斂能力，並以模擬和實驗相互驗證其可行性。

This thesis proposes a hybrid method that combines perturb-and -observe (P&O) method and particle swarm optimization (PSO) method. The method can abbreviate convergent time when it is compared with only PSO method. P&O method is easy to be implemented. It has great performance under non-shading scenario but may converge to local maximum power point (MPP) when partial shading occurs at the
photovoltaic (PV) module. PSO method does a good job at finding global maximum power point in the partial shading case; however it may fail when the irradiance change fast due to its slow-convergent time. We can keep advantages of those methods and eliminate their drawbacks by combining two methods.
Three different cases were simulated by a PV emulator to verify the MPPT tracking performance of the proposed method in partial-shading and non-shading conditions. An interleaved boost converter is used to achieve the hybrid method with output DC bus and resistive load. Digital signal processor (DSP) TMS320F28035 is the controller that implements both the hybrid method and original PSO method. The simulated and experimental results demonstrate the validity of the proposed method.

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