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An improved MPPT control strategy based on incremental conductance algorithm

机译:基于增量电导算法的改进的MPPT控制策略

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PV power production is highly dependent on environmental and weather conditions, such as solar irradiance and ambient temperature. Because of the single control condition and any change in the external environment, the first step response of the converter duty cycle of the traditional MPPT incremental conductance algorithm is not accurate, resulting in misjudgment. To improve the efficiency and economy of PV systems, an improved incremental conductance algorithm of MPPT control strategy is proposed. From the traditional incremental conductance algorithm, this algorithm is simple in structure and can discriminate the instantaneous increment of current, voltage and power when the external environment changes, and so can improve tracking efficiency. MATLAB simulations are carried out under rapidly changing solar radiation level, and the results of the improved and conventional incremental conductance algorithm are compared. The results show that the proposed algorithm can effectively identify the misjudgment and avoid its occurrence. It not only optimizes the system, but also improves the efficiency, response speed and tracking efficiency of the PV system, thus ensuring the stable operation of the power grid.
机译:光伏电源高度依赖于环境和天气条件,如太阳辐照度和环境温度。由于单个控制条件和外部环境中的任何变化,传统MPPT增量电导算法的转换器占空比的第一步响应不准确,导致误判。为提高光伏系统的效率和经济性,提出了一种改进的MPPT控制策略的增量电导算法。从传统的增量电导算法来看,该算法结构简单,可以在外部环境变化时辨别电流,电压和功率的瞬时增量,因此可以提高跟踪效率。 MATLAB模拟在快速改变的太阳辐射水平下进行,比较了改进的和常规增量电导算法的结果。结果表明,该算法可以有效地识别误判并避免其发生。它不仅优化了系统,而且还提高了PV系统的效率,响应速度和跟踪效率,从而确保了电网的稳定运行。

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