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首页> 外文会议>International Seminar on Intelligent Technology and Its Applications >Maximum power point tracking of photovoltaic systems using simple interval type-2 fuzzy logic controller based on hill climbing algorithm
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Maximum power point tracking of photovoltaic systems using simple interval type-2 fuzzy logic controller based on hill climbing algorithm

机译：基于爬山算法的简单区间2型模糊逻辑控制器跟踪光伏系统最大功率点

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摘要

Photovoltaic systems are generally operated in environments with rapidly changes in atmospheric conditions. Maximum Power Point Tracking system is required to keep the operation of photovoltaic at the maximum power point. In this research, a simple interval type-2 fuzzy logic controller is designed as maximum power point tracking system. Based on the hill climbing algorithm, the proposed interval type-2 fuzzy logic controller has two input variables and one output variable. The first input variable is the derivative of power versus voltage, while the second input is the change of the first one. The output variable is the rate of change in the duty cycle of DC-DC converter to control the voltage operation of photovoltaic. Two interval type-2 fuzzy membership functions are used to determine each input variables, while there are four fuzzy singletons in output variable. This simple interval type-2 fuzzy logic controller has only four rules as the maximum power point tracking strategies. Simulation results show that the proposed simple interval type-2 fuzzy logic controller provides fast dynamic response in the rapid change of atmospheric conditions while keeping the operation of photovoltaic at its maximum power point.
机译：光伏系统通常在大气条件迅速变化的环境中运行。需要最大功率点跟踪系统，以将光伏电池的运行保持在最大功率点。在这项研究中，一个简单的间隔2型模糊逻辑控制器被设计为最大功率点跟踪系统。基于爬山算法，提出的区间2型模糊逻辑控制器具有两个输入变量和一个输出变量。第一个输入变量是功率对电压的导数，而第二个输入变量是第一个输入的变化。输出变量是DC-DC转换器占空比的变化率，以控制光伏电池的电压运行。两个区间2型模糊隶属度函数用于确定每个输入变量，而输出变量中有四个模糊单例。这种简单的间隔2型模糊逻辑控制器只有四个规则作为最大功率点跟踪策略。仿真结果表明，所提出的简单区间2型模糊逻辑控制器能够在大气条件快速变化的情况下提供快速的动态响应，同时将光伏电池的运行保持在其最大功率点。

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