使用適應性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 Adaptive Fuzzy Control

徐偉富(Wei-Fu Hsu)

指導教授 ： 張原豪

朝陽科技大學/資訊學院/資訊工程系/碩士(2011年)

摘要

本篇提出使用適應性模糊控制演算法來追蹤太陽能之最大功率點。一般模糊邏輯演算法所使用的參數是固定於某一範圍，因此，當環境或負載條件一有劇烈變化時，模糊邏輯演算法無法適時的來操作在一個大的電流變化或功率變化，因此，本文提出以模糊邏輯演算法為基礎來加以改善。在適應性模糊控制演算法中主要加入了4個額外的適應性規則來對模糊邏輯演算法中解模糊化部分之工作週期做微調，不僅改善了太陽能系統的響應時間，也增強了最大功率點追蹤對不同數量的太陽能電池並聯或負載變化時之控制能力。
此太陽能架構主要由太陽能電池、昇壓型直流對直流轉換器與最大功率點追蹤控制器所組成，並且使用OrCAD Pspice來進行系統之模擬，模擬的例子主要包含了穩態響應與動態響應之太陽能電池輸出電流變化、負載變動以及電流與負載同時變動之模擬。最後亦實作出電路，並且進行該數據之量測，透過實驗結果來證明本文所提出的演算法之可行性。

關鍵字

太陽能 ； 最大功率點追蹤 ； 適應性模糊控制演算法 ； 昇壓型直流對直流轉換器

並列摘要

The adaptive fuzzy logic control (AFLC) for the maximum power point tracking (MPPT) algorithm is presented in this paper. In general, the fixed-parameter fuzzy logic control (FLC) is not enough to face/handle a big change of current and power due to environment or load conditions. The presented AFLC algorithm is improved from FLC. In the AFLC, there are extra 4 adaptive rules added to adjust the duty-cycle of the defuzzification. The AFLC can not only improve the response time of PV system, but also enhance the regulation capability of MPPT for the different number of solar cells or loading variation.
The photovoltaic (PV) system is composed of solar cells, boost DC/DC converter, and AFLC controller for the goal of MPPT. Here, we use OrCAD Pspice for the system simulation. The simulation cases by using AFLC contain steady-state responses and dynamic responses, including loading variation, solar current change, and both changes at the same time. Finally, a prototype MPPT circuit is implemented and tested, and then the experimental results are illustrated to verify the performances of the proposed scheme.

並列關鍵字

Adaptive Fuzzy Logic Control (AFLC) ； Boost DC/DC Converter ； Maximum Power Point Tracking (MPPT) ； Solar

參考文獻

[1]Yuen-Haw Chang, and Wei-Fu Hsu, “A Maximum Power Point Tracking of PV System by Adaptive Fuzzy Logic Control, ”IMECS 2011, March 16-18,2011, Hong Kong.

[2]N. Ozog, W. Xiao, and W. G. Dunford, “Topology study of photovoltaic interface for maximum power point tracking,” IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 54, NO. 3, PP. 1696–1704, JUN. 2007.

[3]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.

[4]Roger Gules, Juliano De Pellegrin Pacheco, Hélio Leães Hey, and Johninson Imhoff, “A Maximum Power Point Tracking System With Parallel Connection for PV Stand-Alone Applications,” IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 55, NO. 7, JULY 2008.

[5]Nopporn Patcharaprakiti, Suttichai Premrudeepreechacharn, Yosanai Sriuthaisiriwong “maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system”, Renewable Energy, Volume 30, Issue 11, September 2005, Pages 1771-1788.