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Two-Stage Fault Diagnosis Method Based on the Extension Theory for PV Power Systems

机译:基于可拓理论的光伏发电系统两阶段故障诊断方法

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摘要

In order to shorten the maintenance time and make sure of the photovoltaic (PV) power generation system steadily in operation, a fault diagnosis system for photovoltaic power generation system was proposed in this paper. First, a PSIM software is used to simulate a 2.2 kW PV system, it can take the operating date of the PV system under different sunlight intensity and temperature conditions. In this paper, a two-stage diagnosis system based on the extension theory for PV power systems is proposed; the proposed method is not only be able to troubleshoot the system fault but also the damaged module can also be located. The primary strategy is to utilize the diagnosis array of daylight identification and to use light scanning of the damage array at night. Via wireless network the data is transmitted back to the diagnosis system for identifying the location of damaged module. The time and energy of manually locating the fault module can be greatly saved. Finally, the methods as proposed in this paper have been compared with other existing methods, by which to verify its superiority and usability.
机译:为了缩短维护时间,确保光伏发电系统稳定运行,提出了一种光伏发电系统故障诊断系统。首先,使用PSIM软件模拟2.2 kW的光伏系统,它可以获取不同阳光强度和温度条件下光伏系统的运行日期。本文提出了一种基于扩展理论的光伏发电系统两阶段诊断系统。所提出的方法不仅能够排除系统故障,而且还可以定位损坏的模块。主要策略是利用日光识别的诊断阵列并在夜间使用对损害阵列的光扫描。通过无线网络,数据被传输回诊断系统,以识别受损模块的位置。可以大大节省手动定位故障模块的时间和精力。最后,将本文提出的方法与其他现有方法进行了比较,以验证其优越性和可用性。

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