Step Incremental Conductance MPPT for Solar PV System Based on Fuzzy Logic Controller

Harshini Siva, S. Balaraman
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引用次数: 2

Abstract

Due to strong industrial expansion, the need for electrical power has increased in recent years. As more than just a by-product of this increased dependence on fossil fuels, resource depletion occurs, and renewable sources such as solar, wind, and wave energy sources have begun to operate as an electricity source and are now playing a key role. Solar energy has been widely used in power systems, particularly in the form of photovoltaic (PV) generating units. Control scheme is a technique for obtaining electricity from a solar photovoltaic system under changing environmental circumstances. The proposed research compares two control methods: incremental conductance algorithm and fuzzy logic, in order to maximise the efficiency of a solar PV system. The algorithms described above change the switching frequency of the power converter to monitor a solar PV array's global MPP. In MATLAB/Simulink, the simulation is run, and the performance is evaluated. The simulated findings imply that the fuzzy logic controller performs better than the incremental conductance technique.
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基于模糊控制器的太阳能光伏系统电导阶跃增量MPPT
由于工业的迅猛发展,近年来对电力的需求有所增加。由于对化石燃料的依赖日益增加,不仅是一种副产品,资源枯竭也随之发生,而太阳能、风能和波浪能等可再生能源已经开始作为电力来源发挥作用,并正在发挥关键作用。太阳能已广泛应用于电力系统,特别是以光伏发电机组的形式。控制方案是在变化的环境条件下从太阳能光伏系统获取电力的一种技术。该研究比较了两种控制方法:增量电导算法和模糊逻辑,以最大限度地提高太阳能光伏系统的效率。上述算法通过改变电源变换器的开关频率来监测太阳能光伏阵列的全局MPP。在MATLAB/Simulink中进行了仿真,并对其性能进行了评价。仿真结果表明,模糊控制器的性能优于增量电导控制。
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