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

机译:用于太阳能阵列的模糊逻辑基于最大功率点跟踪控制器的设计多云天气条件

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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:本文采用模糊逻辑算法提出了可变温度和太阳辐射条件下光伏系统的最大功率点跟踪(MPPT)。来自PV阵列的电力成本比其他不可再生源的电力更昂贵。因此,必须通过在任何天气条件下跟踪其最大功率点的最大效率以最大效率操作PV系统[1]。升压转换器增加太阳能电池板的输出电压,转换器输出电压取决于升压转换器中存在的MOSFET的占空比。占空比的变化是通过对太阳能电池板的电源输出感测到模糊逻辑控制器来完成的。所提出的控制器旨在调整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。 MATLAB / SIMULINK用于开发和设计配备有模糊逻辑[2] [3]的配备有提出的MPPT控制器的PV阵列系统。结果表明,所提出的控制器能够在较短的时间内跟踪MPP,不太波动。实现了具有模糊逻辑控制器的完整硬件设置,并观察结果,并与没有MPPT的系统进行比较(模糊逻辑控制器)。

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