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Development of Observer-Based Photovoltaic MPP Tracker under Partial Shading Conditions

机译:部分遮蔽条件下基于观测器的光伏MPP跟踪器的开发

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A new and simple current sensorless particle swarm optimization (PSO) to extract maximum power under partial shading condition in a photovoltaic (PV) power generation system is proposed in this paper. The existing techniques used for extracting the maximum power in a PV system, in partial shading condition, requires the current and voltage sensors. The use of current sensors (CS) for tracking maximum power point in a partial shading condition is completely avoided in the proposed work. This make the system more simple, less cost, easy to implement and reliable. The effectiveness of the proposed method is studied with the help of a suitable simulation carried in MATLAB platform and for experimental validation a microcontroller is used. The results obtained from the simulations and experimental studies showed that the proposed current sensorless method can track the maximum power point accurately, in partial shading conditions.
机译:提出了一种新的,简单的无电流粒子群优化算法(PSO),可以在光伏发电系统的部分遮蔽条件下提取最大功率。在部分阴影条件下,用于提取PV系统中最大功率的现有技术需要电流和电压传感器。在建议的工作中,完全避免了使用电流传感器(CS)在部分阴影条件下跟踪最大功率点。这使系统更简单,成本更低,易于实施且可靠。借助于在MATLAB平台中进行的适当仿真,研究了所提出方法的有效性,并使用微控制器进行实验验证。从仿真和实验研究获得的结果表明,所提出的电流无传感器方法可以在部分阴影条件下准确地跟踪最大功率点。

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