Title page for etd-0806116-214425
 論文名稱Title 太陽光電系統中最大功率追蹤法之分析與比較Comparative Analysis of Maximum Power Point Tracking Techniques for Photovoltaic Systems 系所名稱Department 電機工程學系Department of Electrical Engineering 畢業學年期Year, semester 105 學年度 第 1 學期The fall semester of Academic Year 105 語文別Language 英文English 學位類別Degree 碩士Master 頁數Number of pages 82 研究生Author 戴瑤妤DEVITA AYU LARASATI 指導教授Advisor 召集委員Convenor 許振廷Cheng-Ting Hsu 口試委員Advisory Committee 蘇俊連, 呂榮基Chun-Lien Su; Rong-Ceng Leou 口試日期Date of Exam 2016-08-31 繳交日期Date of Submission 2016-09-07 關鍵字Keywords 最大功率追蹤、擾動觀察法、粒子群演算法、太陽光伏發電Photovoltaic Generation, Maximum Power Point Tracking, Particle Swarm Optimization, Perturb and Observe 統計Statistics 本論文已被瀏覽 5846 次，被下載 705 次The thesis/dissertation has been browsed 5846 times, has been downloaded 705 times.
 中文摘要 摘要　太陽光伏發電(Photovoltaic Generation, PVG)輸出之電壓與電流隨著環境條件變動而改變。為了使太陽光伏發電在不同環境條件下皆能維持最大輸出，最大功率追蹤(Maximum Power Point Tracking, MPPT)技術一直以來都是太陽能產業重點研究課題。時至今日已有許多最大功率追蹤技術被提出。　　本文將兩種最常見的最大功率追蹤技術擾動觀察法(Perturb and Observe, P&O)與粒子群演算法(Particle Swarm Optimization, PSO)做出比較與分析。將中央氣象局所提供之一整日之照度及溫度資料利用Matrix Laboratory (MATLAB) 軟體分別模擬一塊額定輸出功率為200W之太陽能板在採取擾動觀察法與粒子群演算法時之差異，並比對兩者整日運作時在暫態追蹤時間與功率上的差異，並比較兩者間因為在暫態追蹤時所損失的能量(unharvested energy)。 Abstract ABSTRACTMaximum Power Point Tracking (MPPT) plays an important role in Photovoltaic Generation (PVG) systems because it maximizes the power output from a PVG system. Thus, an MPPT can minimize the overall system cost. MPPT operates a PVG system under different solar irradiances and temperatures. Many such algorithms have been proposed. This thesis provides a comparison between Perturb and Observe (P&O) method, and Particle Swarm Optimization (PSO) method with the weather data from Taiwan Weather Bureau. Matrix Laboratory (MATLAB) programming by using real data is implemented for a PVG system with a rated output of 200 W energy to obtain the curve performance and the unharvest energy for different the MPPT algorithms.