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An intelligent approach based on fuzzy logic for improving and optimizing the performance of a photovoltaic system

机译:一种基于模糊逻辑的智能方法,用于改进和优化光伏系统性能的模糊逻辑

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This work presents an intelligent approach to the improvement and optimization of control performance of a PV system, the method further maximum power point tracking (MPPT) based on fuzzy logic. Our system consists of a photovoltaic panel (PV), a DC-DC buck-boost converter, considered a matching stage between the PV and the load. The strategy for the synthesis of control laws is based on modeling the behavior of the PV system, which allows us to integrate different control techniques to ensure a smooth continuation in the presence of modeling errors and external disturbances. Modeling and simulation system (photovoltaic panel, Buck-Boost DC-DC converter, the MPPT algorithm based on fuzzy logic and load) is achieved through the Matlab / Simulink software.
机译:这项工作介绍了一种智能方法,可以改进和优化PV系统的控制性能,该方法基于模糊逻辑进一步的最大功率点跟踪(MPPT)。我们的系统由光伏板(PV)组成,DC-DC降压 - 升压转换器,被认为是PV和负载之间的匹配阶段。综合对照法律的策略是基于对PV系统的行为进行建模,这使我们能够集成不同的控制技术,以确保在存在建模误差和外部干扰时平稳延续。建模与仿真系统(光伏面板,基于模糊逻辑和负载的MPPT算法)通过MATLAB / Simulink软件实现了基于模糊逻辑和负载的MPPT算法。

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