- 學位論文
風力發電系統之最大功率追蹤器研製
Design and Implementation of a Maximum Power Point Tracker for Wind Power Systems
摘要
本論文主旨在研製風力發電系統之最大功率追蹤器。傳統的最大功率追蹤器多為升壓轉換器架構，控制法多採用擾動觀察法，然而發電機之發電功率隨著風速與風向而變，且此兩變因均非常快速與劇烈，故本文提出可適用高功率且具昇降壓功能之架構與追蹤速度較快的T-S 模糊控制法來實踐，並和傳統擾動法做比較。本論文先介紹風力發電系統如何由後級轉換器做到最大功率追蹤。將對系統做建模，接著建立兩種方法的控制策略並詳述T-S 模糊控制法，再由微控制器實踐此兩種控制方法。實驗驗證最大功率追蹤準確性，接著量測於變風速與風向角時的追蹤情形，再來證實在變換快速的風力系統中，T-S 模糊控制法追蹤速率較快且準確，並探討系統強健性。
並列摘要
This thesis is mainly about developing a maximum power point tracker for wind power system. Most of conventional maximum power point trackers were constructed from a step-up converter, and adopted P&O as a control method. However, the generator power will dramatically vary based on the enormously fluctuation of the wind velocity and the wind direction. Therefore, this study proposes the T-S fuzzy control method which owns the faster tracking velocity and realizes the high power DC-DC converter with both step up and down functions. By the way, the T-S fuzzy control method is compare with the conventional P&O method. First, this thesis introduces how the wind generator achieves the maximum power point tracking by using a backward converter. Second, the wind power system is modeled for computer simulation. Then, this thesis proposes a robust T-S fuzzy control for the wind power system with decay rate. Last, the T-S fuzzy controller is implemented by using a micro processor. Three kinds of MPPT experiments are conducted. They are single wind power curve with fixed pitch angle, multiple wind power curves with fixed pitch angle, and multiple wind power curves with fixed wind velocity. Experimental results verify that the T-S fuzzy control method tracks more expeditiously and precisely in the rapidly shift of wind farm. The robustness of the wind power system is also discussed.