光伏系统MPPT的ANFIS控制器设计

Wahyu Setyo Pambudi, Riza Agung Firmansyah, Yuliyanto Agung Prabowo, Titiek Suheta, Fathammubina Fathammubina
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引用次数: 0

摘要

光伏电池的电流和电压输出特性取决于太阳辐射强度和温度。最大功率点以最大的能量输出工作,具有最高的效率。最大能量点跟踪法(MPPT)将太阳能电池工作点保持在最大能量点。本研究使用自适应神经模糊推理系统(ANFIS)方法来维持这一点。扰动和观察(PnO)方法用于测试结果,通常用于确定这种跟踪。测试结果表明,使用PnO时平均功率效率为84.79%,使用PnO时平均功率效率为83.87%。使用ANFIS的瞬态响应比使用PnO的瞬态响应更平滑,但当辐射和温度发生变化时,会产生抖振。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing ANFIS Controller for MPPT on Photovoltaic System
Photovoltaics’ current and voltage output characteristics depend on the intensity of solar radiation and temperature. Maximum Power Point works with maximum energy output and has the highest efficiency. The maximum energy point tracking method (MPPT) keeps the solar cell operating point at its maximum point. This study uses the Adaptive Neuro-Fuzzy Inference System (ANFIS) method designed and used to maintain that point. The Perturb and Observe (PnO) method is used to test the results, often used in determining this tracking. Based on the test, it was found that the average power efficiency obtained was 84.79%, and using PnO was 83.87%. The transient response using ANFIS is relatively smoother than that of using PnO, which will cause chattering when there is a change in radiation and temperature.
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