DC power optimizer for PV modules using SEPIC converter

M. Azab
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引用次数: 8

Abstract

In this paper an instantaneous maximum power extraction scheme is proposed as a PV power optimizer. The presented power harvesting scheme is rely on a weather-based power forecasting model in which the instantaneous value of the maximum power that should be extracted from the individual PV module is computed. The control unit of the proposed dc power optimizer is composed of a PI power controller and a PWM unit driving a SEPIC converter as a power conditioner. The chopper duty cycle is continuously adjusted such that the PV module is forced to operate near the maximum power point that is determined from the online measurements of the meteorological data model. The system is studied under both step down and step up modes of operation permitted by the SEPIC converter. The proposed scheme is investigated under different patterns of solar irradiance. The obtained results indicate both fast transient response and the good accuracy with low computation complexity due to the simple meteorological data model of the PV module. Compared with the commonly used perturb and observe (P&O) technique, the proposed scheme has better performance in terms of lower peak-peak power ripple. However, it has relatively lower tracking efficiency of (1–2)% due to the intentional reduction in the reference power signal to guarantee the fact that the actual harvested PV power can't exceed the reference value determined by the weather based model. The application area of the proposed scheme would be extended from a dc power optimizer for an individual PV to include microgrid applications, where commercially available temperature and solar irradiance transducers can be embedded with the distributed control unit of the SEPIC converter without dramatic increase to the initial cost of the overall system.
使用SEPIC转换器的光伏模块直流功率优化器
本文提出了一种瞬时最大功率提取方案作为光伏发电功率优化器。所提出的电力收集方案依赖于基于天气的电力预测模型,该模型计算了应从单个光伏组件中提取的最大功率的瞬时值。所提出的直流功率优化器的控制单元由PI功率控制器和PWM单元组成,PWM单元驱动SEPIC转换器作为功率调节器。连续调整斩波器占空比,使得PV模块被迫在最大功率点附近运行,该最大功率点由气象数据模型的在线测量确定。在SEPIC变换器允许的降压和升压两种工作模式下,对系统进行了研究。在不同的太阳辐照度模式下对该方案进行了研究。结果表明,由于光伏组件的气象数据模型简单,具有瞬态响应快、精度高、计算复杂度低等优点。与常用的扰动与观测(P&O)技术相比,该方案具有较低的峰值功率纹波性能。但其跟踪效率相对较低,为(1-2)%,这是由于为了保证实际收获的光伏功率不超过基于天气的模型确定的参考值,故意减少了参考功率信号。拟议方案的应用领域将从单个光伏的直流功率优化器扩展到包括微电网应用,其中商业上可用的温度和太阳辐照度传感器可以嵌入SEPIC转换器的分布式控制单元,而不会显着增加整个系统的初始成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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