本文提出可改善太陽能發電系統最大功率追蹤能力之決定型杜鵑鳥搜尋法。杜鵑鳥搜尋法擁有快速收斂、高轉換效率及參數設計需求較少等特性，但其複雜的程式流程以及亂數產生之需求導致實現困難度提升。決定型杜鵑鳥搜尋法主要理念為捨去原杜鵑鳥搜尋法之列維飛行(Levy Flight)模式運算及簡化程式判斷，進而降低其運算及程式流程之複雜度。
本文系統採用升壓式轉換器作為功率級電路，並搭配dsPIC33FJ16GS502數位信號控制器，實現最大功率追蹤程式控制以完成一太陽能最大功率追蹤器，並針對傳統擾動觀察法及變動步階式擾動觀察法與本文所提之方法進行實測比較分析。根據模擬及實驗結果得知，本文所提之方法的穩態追蹤精確度高達99.94%，而追蹤時間相較於傳統擾動觀察法及變動步階式擾動觀察法各可減少46.42%及11.76%的時間。此外，本文所提出之決定型杜鵑鳥搜尋法可成功解決部分遮蔭之問題，達到全域最大功率追蹤之功能。

In this thesis, a deterministic cuckoo search (CS) method is proposed to improve the maximum power point tracking (MPPT) capability of a photovoltaic generation system. It is acknowledged that the CS method boasts advantages such as fast convergence, high efficiency and few tuning parameters. However, complicated flowchart and the requirement of random number generation make it difficult to implement CS technique in low cost microcontrollers. The main idea of the proposed method is to remove the levy flight calculation in the conventional CS method; hence, the proposed MPPT algorithm is much simpler compared to the conventional CS technique. In this thesis, the proposed deterministic CS method is realized using digital signal controller dsPIC33FJ16GS502 from Microchip corp. The constructed MPPT controller is then implemented on a boost converter and compared to the conventional perturb and observe (P&O) and variable-step P&O method. According to the simulated and experimental results, the MPPT accuracy of the proposed system is 99.94 %, and the tracking time can be improved by 46.42 % and 11.76 % comparing to conventional P&O and variable-step P&O method, respectively. In addition, the proposed deterministic CS method can also successfully handle the global maximum power point tracking problem under partial shaded conditions.

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