Implementation of a Two-Stage PV System Testbed with Power Reserves for Grid-Support Applications

V. Paduani, N. Lu
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引用次数: 2

Abstract

This paper presents the implementation of a solar tracking algorithm for a small-scale, two-stage photovoltaic (PV) systems with power reserves. The work combines two algorithms found in the literature regarding the power curtailment of PV systems. The first is focused on providing a fast irradiance tracking capability, whereas the second is focused on achieving real-time maximum power point estimation (MPPE) when the system operates in power curtailment mode. By combining both algorithms, a technique providing fast tracking with real-time power reserves estimation is presented. First, a testbed of a two-stage PV system composed by a dc/dc boost converter cascaded with a single-phase inverter is built in Simulink. Next, simulations are carried to match the experimental data from the first algorithm to validate the testbed. Then, the second algorithm is combined with the first to create a testbed with potential to provide power reserves while maintaining fast irradiance tracking. Results demonstrate that the Simulink testbed can match the performance from experimental tests for PV system studies.
具有电网支持应用的电力储备的两级光伏系统试验台的实现
提出了一种具有电力储备的小型两级光伏系统的太阳能跟踪算法。这项工作结合了两种算法,在文献中发现的关于光伏系统的电力削减。第一个重点是提供快速辐照度跟踪能力,而第二个重点是在系统运行在限电模式下实现实时最大功率点估计(MPPE)。将这两种算法结合起来,提出了一种快速跟踪和实时电力储备估计的方法。首先,利用Simulink搭建了dc/dc升压变换器级联单相逆变器组成的两级光伏系统的测试平台。其次,对第一种算法的实验数据进行了仿真匹配,验证了实验平台的有效性。然后,将第二种算法与第一种算法相结合,创建一个具有潜力的测试平台,在保持快速辐照度跟踪的同时提供动力储备。结果表明,该Simulink测试平台能够满足光伏系统实验测试的要求。
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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