- 學位論文
使用尺規化模糊控制進行太陽能系統之最大功率點追蹤的設計與實作
Design and Implementation of Maximum Power Point Tracking of PV System by Scaling Fuzzy Control
若您是本文的作者，可授權文章由華藝線上圖書館中協助推廣。
摘要
本篇使用尺規化模糊控制演算法來追蹤太陽能之最大功率點，加入尺規化演算法主要的優點在於將不同片數的太陽能板所回授的電壓、電流訊號送至具有模糊演算法的微控制器進行最大功率追蹤，如此一來可不再只是限制於單片太陽能板的數量及減少最大功率點的擺動幅度；一般典型最大功率追蹤演算法直接將電壓與電流訊號回授至控制器，易造成最大功率點擺動過大與延長追蹤時間，造成最大功率點追蹤演算法的失敗。使用尺規化模糊控制邏輯演算法將模糊邏輯演算法加以改善，擴展太陽能板並聯的數量，並且找出太陽能最大功率點之正確走向，並且減少不必要的擾動次數以加快追蹤速度與減少功率損失，增加演算法之可靠性，並使用單級Boost升壓型直流轉換架構，來提高整體效率。 此太陽能架構主要有太陽能板、升壓型直流對直流轉換器與最大功率追蹤控制器所組成，並且使用OrCAD Pspice進行模擬，主要集中在變動太陽能輸出電流變化以及變動負載之模擬，模擬結果顯示此演算法是有效率的，且負載範圍寬廣，負載選擇性較好。並且以單晶片實現此演算法，實驗結果顯示此演算法是可行的。
並列摘要
The Scaling Fuzzy Logic Control (FLC) maximum power point tracking (MPPT) algorithm is presented in this paper, and its main difference is corresponding voltage and current of parallel many solar cells. Its can reduce tracking time, swing range on maximum power point and high frequency noise. In general typical MPPT algorithm is direct feed-back signal to controller. It is easy make the controller work not correct and algorithm fault. The scaling FLC algorithm is improved from FLC algorithm, and its main advantage is to average voltage and output power. The solar module voltage and current signal is scaled by proposed algorithm to achieved MPPT. The scaling FLC algorithm can avoided the high frequency noise, and made the system more reliability. The solar system is contains solar penal, boost DC/DC converter and MPPT controller, and simulated by using OrCAD Pspice. We simulated focus on variation current source and load of single solar module, and the simulated results are shown the efficiency of the system. The MPPT system not only reduces the swing range and tracking time but also decrease noise influenced of nature. The MPPT system can use to single, series and parallel solar modules.
參考文獻
photovoltaic interface for maximum power point tracking,” IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,, VOL. 54,NO. 3, PP. 1696–1704, JUN. 2007.
[2] Trishan Esram, Student, and Patrick L. Chapman, “Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques,”IEEE TRANSACTIONS ON ENERGY CONVERSION, VOL. 22,
NO. 2, JUNE 2007.
[3] Fangrui Liu, Shanxu Duan, Fei Liu, Bangyin Liu, and Yong Kang,
“A Variable Step Size INC MPPT Method for PV Systems,” IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 55,
延伸閱讀
- Liu, G. H. (2017). 太陽能板最大功率點模糊控制追蹤器設計與追日系統實現 [master's thesis, National Chiao Tung University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0030-0705201811413330
- 陳慶桐（2009）。使用平均化擾動觀察演算法進行太陽能系統之最大功率追蹤〔碩士論文，朝陽科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0078-1111200915521534
- 李彥德（2016）。基於強健性區間二型多項式模糊控制系統之太陽光電陣列最大功率追蹤器研製〔碩士論文，國立中正大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0033-2110201614072403
- HSU, Y. T. (2013). 終端滑模控制結合最大功率追蹤演算法應用在獨立型太陽能發電系統 [master's thesis, Chung Yuan Christian University]. Airiti Library. https://doi.org/10.6840/cycu201301123
- 楊俊傑（2013）。Design and Implementation of Distributed PV Solar Maximum Power Point Tracking System〔碩士論文，國立臺北科技大學〕。華藝線上圖書館。https://doi.org/10.6841/NTUT.2013.00341