本文提出一種新型可適用於複雜遮蔭條件下的太陽能發電系統(Photovoltaic Generation System, PGS)的全域最大功率追蹤法(Global Maximum Power Point Tracking, GMPPT)，所提方法是基於一常用於解決複雜的優化問題，並具有易實現、無須複雜運算、收斂速度快、精度高等優點的Nelder-Mead (NM)技術，藉由四種模式的相互切換，可以快速、準確及低損耗的追蹤到全域最大功率點(Global Maximum Power Point, GMPP)。本文功率級電路採用升壓轉換器，並使用TI C2000系列微控制器實現數位控制和所提追蹤法功能。
為了驗證所提出的GMPPT方法的有效性，本文以5串1並太陽能電池模組為例，提供了與其他四種典型GMPPT或代表性的方法之252種不重複照度的遮蔭樣式和243種可重複照度的遮蔭樣式的模擬結果，及不重複照度的遮蔭樣式中的3種複雜遮蔭樣式的實驗結果，根據結果顯示，所提方法在不重複及可重複種遮蔭樣式下的追蹤準確率分別為98.4%和95.8%，平均追蹤精確度則分別為99.6%和99.9%，全域最大功率的追蹤性能皆為所有比較方法中的最佳；其中在GMPP追蹤速度追蹤速度方面則是比軟計算方法快三倍以上。

In this thesis, a novel global maximum power point tracking (GMPPT) algorithm for operating in photovoltaic generation system (PGS) under complex partial shading conditions is proposed. The presented GMPPT technique is based on the Nelder-Mead (NM) simplex technique, which is commonly used to solve complicated optimization problems and has advantages such as simple implementation, derivative-free nature, fast convergence, and high accuracy.
In order to verify the effectiveness of the proposed GMPPT method, this thesis takes five series and one parallel solar cell modules as an example. The simulation results of 252 shading styles patterns with non-repeatable irradiance levels and 243 shading patterns under repeatable irradiance levels compared with other four typical GMPPT or representative methods, and the experimental results of three complex shading patterns with non- repeatable irradiance are provided. According to the results, The tracking accuracy of the proposed method is 98.4% and 95.8% respectively under non-repeatable and repeatable shading patterns, and the average tracking accuracy is 99.6% and 99.9% respectively. The tracking performance of the GMPPT is the best of all comparison methods; among them, the GMPP tracking speed is the best. It is more than three times faster than the soft computing method.

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