基于ANFIS的光伏应用实时功率参考发电机

Göksel Gökkus
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摘要

本研究采用商用产品SIS01-TC-T光伏参考模块和STM开发板对250Wp太阳能电池板进行实时功率估算。采用自适应神经模糊推理系统(ANFIS)进行功率估计。在训练过程中,使用功率为250Wp的光伏板的实际值。采用混合学习算法对ANFIS进行训练。功率估计过程可以作为各种应用的参考功率。估算的功率值可用于远程监测系统的实时功率监测或太阳能跟踪机构的最佳角度控制应用。它也可以用作混合最大功率点跟踪(MPPT)控制应用或比例,积分和导数(PID)控制的参考值。此外,有了这个参考功率值,就可以产生各个电力电子级所需的脉宽调制(PWM)信号。
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ANFIS Based Real-Time Power Reference Generator for PV Applications
In this study, a real-time power estimation of a 250Wp solar panel is performed by using a commercial product SIS01-TC-T PV reference module and STM development board. Power estimation was carried out with Adaptive Neuro-Fuzzy Inference System (ANFIS). During the training process, the actual values of the Photo Voltaic (PV) panel with a 250Wp power were used. ANFIS training was accomplished with the hybrid learning algorithm. The power estimation process can be used as a reference power for various applications. The estimated power value can be used in real-time power monitoring for remote monitoring systems or optimum angle control applications for solar tracking mechanisms. It can also be used as a reference value for hybrid Maximum Power Point Tracking (MPPT) control applications or Proportional, Integral, and Derivative (PID) control. In addition, with this reference power value, the Pulse Width Modulation (PWM) signal required by various power electronics stages can be generated.
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