Automatic supervision and fault detection of PV systems based on power losses analysis
Automatic supervision and fault detection of PV systems based on power losses analysis
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DOI：
10.1016/j.enconman.2010.02.025
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发表时间：
2010-10-01
影响因子：
10.4
通讯作者：
Silvestre, S.
中科院分区：
文献类型：
--
作者：
Chouder, A.;Silvestre, S.
在这项工作中，我们提出了一种新的基于网损分析的光伏系统自动监测和故障检测方法。该自动监控系统是在MatLab和Simulink环境下开发的。它包括参数提取技术，根据实际工作条件下的监测数据计算光伏系统的主要参数，考虑环境辐照度和模块温度演变，允许实时模拟光伏系统的行为。自动监控方法分析光伏发电机直流侧的输出功率损耗、捕获损耗，定义了两个新的功率损耗指标：热捕获损耗(L-ct)和杂项捕获损耗(L-cm)。这些指示器的处理允许监控系统产生故障信号，作为光伏系统运行中故障检测的指示器。还定义了两个新的直流变量相对于模拟变量的偏差指标。这些指标是电流和电压比：R-C和R-V。通过分析故障信号和电流/电压比，可以识别故障类型。该自动监控系统已成功地进行了实验测试。(C)2010爱思唯尔有限公司。保留所有权利。
In this work, we present a new automatic supervision and fault detection procedure for PV systems, based on the power losses analysis. This automatic supervision system has been developed in Matlab&Simulink environment. It includes parameter extraction techniques to calculate main PV system parameters from monitoring data in real conditions of work, taking into account the environmental irradiance and module temperature evolution, allowing simulation of the PV system behaviour in real time. The automatic supervision method analyses the output power losses, presents in the DC side of the PV generator, capture losses.Two new power losses indicators are defined: thermal capture losses (L-ct) and miscellaneous capture losses (L-cm). The processing of these indicators allows the supervision system to generate a faulty signal as indicator of fault detection in the PV system operation. Two new indicators of the deviation of the DC variables respect to the simulated ones have been also defined. These indicators are the current and voltage ratios: R-C and R-V.Analysing both, the faulty signal and the current/voltage ratios, the type of fault can be identified. The automatic supervision system has been successfully tested experimentally. (C) 2010 Elsevier Ltd. All rights reserved.