Hybrid System of Dual Axis Photovoltaic Tracking System Using ANFIS-ACO

Machrus Ali, Rukslin Rukslin
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Abstract

In this paper, the efficiency of the photovoltaic panels is improved by adding two solar tracking systems. The solar tracking system is used to track the sun so that the photovoltaic always faces the sun. This system uses a dual axis consisting of a horizontal rotation axis and a vertical rotation axis. The motion of the horizontal axis of rotation follows the sun's azimuth angle from north to south. Then to follow the sun's azimuth angle from east to west is the vertical axis motion. Both types of movements are controlled using PID and Fuzzy controllers, which are optimized with an artificial intelligence approach, namely Ant Colony Optimization (ACO). Experiments with PID control, Fuzzy control, and ANFIS control approaches optimized by the ACO method (ANFIS-ACO Hybrid method). The experimental results show that ANFIS-ACO has the best performance in terms of settling time and overshoot.
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基于蚁群算法的双轴光伏跟踪系统混合系统
本文通过增加两个太阳能跟踪系统来提高光伏板的效率。太阳能跟踪系统用于跟踪太阳,使光伏发电始终面向太阳。该系统采用由水平旋转轴和垂直旋转轴组成的双轴。水平旋转轴的运动遵循太阳的方位角从北向南。然后跟随太阳的方位角从东到西就是垂直轴的运动。这两种类型的运动都使用PID和模糊控制器进行控制,并用人工智能方法进行优化,即蚁群优化(ACO)。实验采用蚁群算法优化PID控制、模糊控制和ANFIS控制方法。实验结果表明,该算法在沉降时间和超调量方面具有最佳性能。
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