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Implementation of a modified incremental conductance MPPT algorithm with direct control based on a fuzzy duty cycle change estimator using dSPACE

机译:基于dSPACE的基于模糊占空比变化估计器的直接控制的改进增量电导MPPT算法的实现

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摘要

Maximum power point tracking (MPPT) is a necessary function in all photovoltaic (PV) systems. The classic incremental conductance (IC) MPPT algorithm is widely used in the literature. However, when large changes occur in the irradiance, the performance of this algorithm is degraded. To eliminate all of the disadvantages of the classic IC algorithm, we developed a new IC controller based on a fuzzy duty cycle change estimator with direct control. A fuzzy logic estimator (FLE) is used to estimate the new duty cycle used to track the PV array maximum power point. Compared with the fixed step IC MPPT method with direct control, the proposed algorithm reaches the MPP more accurately and faster during dynamic and steady-state conditions. A controlled Cuk DC-DC converter was implemented and connected to a SunTech STP085B PV panel to verify the accuracy of the proposed method. Matlab/Simulink was used for the simulation studies. Additionally, the algorithms were digitally implemented on the dSPACE ACE1104 platform. The results obtained confirm the advantages of the proposed algorithm. (C) 2014 Elsevier Ltd. All rights reserved.
机译:在所有光伏(PV)系统中,最大功率点跟踪(MPPT)是必不可少的功能。经典增量电导(IC)MPPT算法在文献中得到了广泛使用。但是,当辐照度发生较大变化时,该算法的性能将下降。为了消除经典IC算法的所有缺点,我们开发了一种基于带有直接控制的模糊占空比变化估计器的新型IC控制器。模糊逻辑估计器(FLE)用于估计用于跟踪PV阵列最大功率点的新占空比。与直接控制的固定步骤IC MPPT方法相比,该算法在动态和稳态条件下都能更准确,更快地达到MPP。实现了一个受控的Cuk DC-DC转换器,并将其连接到SunTech STP085B PV面板,以验证所提出方法的准确性。 Matlab / Simulink用于仿真研究。此外,算法在dSPACE ACE1104平台上以数字方式实现。获得的结果证实了所提出算法的优点。 (C)2014 Elsevier Ltd.保留所有权利。

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