应用模糊为基础的方法于太阳能光伏系统之最大功率追踪
A Fuzzy-Based Algorithm to Maximum Power Point Tracking for Photovoltaic System
摘要: 本文提出以模糊理论为基础的方法应用于太阳能光伏系统之最大功率追踪，此方法可以较快速及稳定的使太阳能光伏板工作在最大功率点，以便于供给负载所需，让整个太阳能光伏发电系统达到最大效率以减少能源损失。模糊理论的优势为可以面对不确定性，而在太阳能光伏板之最大功率追踪方面，需面对日照强度和负载等因素变动的不确定性。以模糊为基础的方法去进行最大功率追踪，可以经由输入模糊化、模糊推论及解模糊化的过程，求得其适当的输出解，再利用其输出解，适当的调整开关责任周期，进而驱使电路，使太阳能光伏板能更快速且更稳定的搜寻到最大功率点。本文的太阳能光伏系统最大功率追踪架构主要有太阳能光伏阵列、直流–直流Z-源升压型转换器与数位处理器所组成，并以数位信号处理器(TMS320LF2407A)作为数位控制的核心，进而减少许多电子电路元件。由实际量测的结果可知，本文所采用之方法确实可以达到最大功率追踪之目的。
Abstract: This paper presents a fuzzy-based tracking algorithm to maximum power point tracking (MPPT) for photovoltaic (PV) system. The proposed fuzzy-based tracking algorithm can let the PV cell to work fast and stably on the maximum power point that makes the load can obtain the highest power. In the MPPT of the PV system, the sunlight intensity and load are uncertain factors. This advantage of the fuzzy-method is to deal with the uncertainty. The proposed fuzzy-based tracking algorithm is used to get a solution to adjust the duty cycle of the switch of the boost converter. The structure of the MPPT of the PV system is mainly composed of PV array, dc-dc Z-source boost converter and digital signal processor. A digital signal processor (TMS320LF2407A) is used for the system control that can reduce hardware components. It is found from the results that the proposed method can effectively achieve maximum power point and significantly improve the tracking efficiency.
文章引用：梁瑞勋, 周智帆, 陈一通, 曾万存. 应用模糊为基础的方法于太阳能光伏系统之最大功率追踪[J]. 可持续能源, 2013, 3(3): 45-53. http://dx.doi.org/10.12677/SE.2013.33008

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