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Analysis of maximum power point tracking algorithms in DC-DC boost converters for grid-tied photovoltaic systems

机译:并网光伏系统DC-DC升压转换器中最大功率点跟踪算法的分析

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This paper presents a comparive analysis between four Maximum Power Point Tracking (MPPT) algorithms in centralized grid-tied Photovoltaic (PV) systems. The algorithms are used to control the duty cycle of a DC-DC converter in order to boost the output voltage of the PV generator and guarantee the operation of the solar panels in the Maximum Power Point (MPP). Three of the analyzed algorithms correspond to the classical Perturb and Observe (P&O) method, the Incremental Conductance (IC) technique and the Constant Voltage (CV) method. The fourth analyzed algorithm is a modification of the classical P&O method and it has been designed to improve the tracking of the MPP under voltage disturbances at the DC-side capacitor (interface between the DC-DC and the DC-AC stage). The performance of the MPPT techniques is compared through simulations in PSIM under two conditions: sudden changes of irradiance and a distortion of second order in the voltage at the DC-side capacitor. The comparative analysis is made according to some criterias such as the number of sensors, the rise time and the efficiency.
机译:本文对集中式并网光伏(PV)系统中的四种最大功率点跟踪(MPPT)算法进行了比较分析。该算法用于控制DC-DC转换器的占空比,以提高PV发电机的输出电压,并确保太阳能电池板在最大功率点(MPP)中运行。分析的三种算法分别对应于经典的“扰动和观察”(P&O)方法,“增量电导”(IC)技术和“恒定电压”(CV)方法。第四种分析算法是对经典P&O方法的修改,它的设计目的是改善DC侧电容器(DC-DC和DC-AC阶段之间的接口)在电压干扰下对MPP的跟踪。通过在两个条件下的PSIM中的仿真比较了MPPT技术的性能:辐照度的突然变化和DC侧电容器电压的二阶失真。根据一些标准进行比较分析,例如传感器的数量,上升时间和效率。

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