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Power Optimizing of Solar Photovoltaic Systems

机译:太阳能光伏系统功率优化

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Efficient energy yield is a major concern in solar photovoltaic (PV) systems. This paper describes a distributed control system to optimize the power output of the PV systems. The PV systems contain many PV modules. And every PV module has a monitoring and control network node. The communication data are successfully transmitted using a low-cost ZigBee wireless network. The field conditions are monitored by voltage, current, irradiance, and temperature sensors. The power operating point tracking is implemented at the PV module level. The reference voltage is calculated based on a neural network model, which is used to identify maximum power point. And the output voltage is regulated by a digital controller in the integrated converter according to the reference voltage. Experiments show that the power output can be greatly increased with this distributed control system under many shadow conditions.
机译:高效能量产量是太阳能光伏(PV)系统的主要问题。本文介绍了一种分布式控制系统,用于优化PV系统的功率输出。 PV系统包含许多PV模块。并且每个PV模块都有一个监控和控制网络节点。通过低成本ZigBee无线网络成功传输通信数据。通过电压,电流,辐照度和温度传感器监测现场条件。功率工作点跟踪在PV模块级实现。基于神经网络模型计算参考电压,用于识别最大功率点。并且根据参考电压通过集成转换器中的数字控制器调节输出电压。实验表明,在许多阴影条件下,该分布式控制系统可以大大增加功率输出。

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