基于逆变器模型预测的光伏发电故障诊断  

Fault Diagnosis of Photovoltaic Power Generation Based on Inverter Model Prediction

作　　者：梁家豪[1] 陶敏[1] 梁秉岗[1] LIANG Jia-hao;TAO Min;LIANG Bing-gang(Guangzhou Bureau EHV Power Transmission Company of CSG,Guangzhou 510003,China)

机构地区：[1]中国南方电网超高压输电公司广州局,广东广州510003

出　　处：《控制工程》2022年第11期2169-2176,共8页Control Engineering of China

基　　金：广东省自然科学基金资助项目(GD1900523)。

摘　　要：为降低大型光伏发电厂的实施、运行和维护成本,在现有不需额外传感器的故障诊断体系结构基础上,优化设计算法框架,其关键技术在于可不使用日射表和温度计测量的辐照和组件温度,而使用根据光伏组件特性和光伏逆变器直流电压和电流测量值计算出的理论值。因此,可实现在最大功率点跟踪和输出功率剪裁下的故障和退化识别,优点是可解决测量设备成本远高于简单地更换故障光伏组件成本的问题,使故障检测方法更加实用。研究还表明,这种结构可对失效和退化模式进行有效检测,即“串联电阻增大”、“并联电阻减小”和“旁路二极管开启”。In order to reduce the cost of implementation, operation and maintenance of large-scale photovoltaic power plants, the algorithm framework based on the existing fault diagnosis architecture without additional sensors is improved in this paper. The key technology is to use the theoretical values calculated according to the characteristics of the photovoltaic module and the DC voltage and current measurement value of the photovoltaic inverter instead of irradiance and module temperature measured by the pyranometer and thermometer. Therefore, the fault and degradation identification under maximum power point tracking and output power clipping can be realized. The advantage is that the problem that the cost of measuring equipment is much higher than that of simply replacing the faulty PV module is solved, which makes the fault detection method more practical. The research also shows that the structure can effectively detect the failure and degradation modes, namely “series resistance increase”, “parallel resistance decrease” and “bypass diode open”.

关 键 词：工作点 Ⅰ-Ⅴ理论模型 传感器 光伏发电 故障诊断 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]