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Design of Fuzzy Logic based Maximum Power Point Tracking controller for solar array for cloudy weather conditions

机译:基于模糊逻辑的多云天气条件下太阳能电池板最大功率点跟踪控制器的设计

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This paper proposes Maximum Power Point Tracking (MPPT) of a photovoltaic system under variable temperature and solar radiation conditions using Fuzzy Logic Algorithm. The cost of electricity from the PV array is more expensive than the electricity from the other non- renewable sources. So, it is necessary to operate the PV system at maximum efficiency by tracking its maximum power point at any weather conditions [1]. Boost converter increases output voltage of the solar panel and converter output voltage depends upon the duty cycle of the MOSFET present in the boost converter. The change in the duty cycle is done by Fuzzy logic controller by sensing the power output of the solar panel. The proposed controller is aimed at adjusting the duty cycle of the DC-DC converter switch to track the maximum power of a solar cell array. MATLAB/Simulink is used to develop and design the PV array system equipped with the proposed MPPT controller using fuzzy logic [2][3]. The results show that the proposed controller is able to track the MPP in a shorter time with less fluctuation. The complete hardware setup with fuzzy logic controller is implemented and the results are observed and compared with the system without MPPT (Fuzzy logic controller).
机译:本文提出了利用模糊逻辑算法在变温度和太阳辐射条件下光伏系统的最大功率点跟踪(MPPT)。光伏阵列的电费要比其他不可再生资源的电费贵。因此,有必要通过在任何天气条件下跟踪其最大功率点来使光伏系统以最高效率运行[1]。升压转换器会增加太阳能电池板的输出电压,而转换器的输出电压取决于升压转换器中MOSFET的占空比。占空比的变化由模糊逻辑控制器通过检测太阳能电池板的功率输出来完成。拟议的控制器旨在调整DC-DC转换器开关的占空比,以跟踪太阳能电池阵列的最大功率。使用MATLAB / Simulink使用模糊逻辑[2] [3]开发和设计配备有建议的MPPT控制器的光伏阵列系统。结果表明,所提出的控制器能够在更短的时间内以更少的波动来跟踪MPP。使用模糊逻辑控制器执行完整的硬件设置,并观察结果并与没有MPPT的系统(模糊逻辑控制器)进行比较。

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