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Designing a Novel ANN Optimized Converter for Photovoltaic Solar System

机译:设计用于光伏太阳能系统的新型ANN优化转换器

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This paper suggests a novel full bridge electric power converter for photovoltaics solar system. DC/DC converters in photovoltaics actually theatres a very vital role in training of power systems. The dc/dc converter is placed in circuit to give a relentless output voltage under numerous functioning conditions of PV Cell. First of all MPP of the PV cell is find out by using P& O algorithm and then voltage rating is designated to the power switch. Photovoltaics PCS should provide high efficiency when placed in time changing diverse operating conditions. A novel dc/dc converter is projected to gratify Photovoltaics Power Conditioning System condition. The planned system is studied and verified through in MATLAB/SIMULINK. In next part the same proposed converter is optimised with Artificial neural networks on different architectures so that we best optimum output is received from the PV cell.
机译:本文提出了一种用于光伏太阳能系统的新型全桥电力转换器。光伏中的DC / DC转换器实际上在电力系统培训中起着至关重要的作用。将DC / DC转换器放置在电路中,以在PV电池的多种运行条件下提供无休止的输出电压。首先,使用P&O算法找出PV电池的MPP,然后将额定电压指定给电源开关。光伏PCS在时间上改变各种工作条件时应提供高效率。新型的DC / DC转换器可满足光伏电源调节系统的要求。通过MATLAB / SIMULINK对计划的系统进行研究和验证。在下一部分中,将通过不同结构的人工神经网络对同一提议的转换器进行优化,以便从PV电池获得最佳的最佳输出。

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