弱电网下光伏并网逆变器故障自动化检测系统  

Automated Fault Detection System for Photovoltaic Grid Connected Inverters Under Weak Current Network

作　　者：曾文杰 ZENG Wenjie(Meizhou Power Supply Bureau of Guangdong Power Grid Co.,Ltd.,Meizhou 514000,China)

机构地区：[1]广东电网有限责任公司梅州供电局,梅州514000

出　　处：《自动化与仪表》2025年第3期106-109,共4页Automation & Instrumentation

摘　　要：该文以适应逆变器故障特征变化,为精准捕捉逆变器故障特征信息,准确检测弱电网环境下光伏并网逆变器故障为目的,设计弱电网下光伏并网逆变器故障自动化检测系统。采集光伏并网逆变器运行电压电流数据,对光伏并网逆变器在弱电网环境下出现的故障进行分类和编码处理,使用经验模态分解方法获得光伏并网逆变器运行电压电流本征模式分量,计算其样本熵得到光伏并网逆变器故障特征向量,建立基于模糊RBF神经网络的逆变器故障自动化检测模型。实验表明,该系统可有效采集逆变器运行电压电流数据,具备较好的本征模式分量提取能力,同时可有效实现光伏并网逆变器故障自动化检测。To adapt to the changes in inverter fault characteristics,accurately capture inverter fault characteristic infor-mation,and accurately detect photovoltaic grid connected inverter faults in weak current network environments,an au-tomated fault detection system for photovoltaic grid connected inverters in weak current networks is designed.Collect voltage and current data of photovoltaic grid connected inverters,classify and encode faults that occur in weak power grid environments,use empirical mode decomposition method to obtain the intrinsic mode components of photovoltaic grid connected inverters'operating voltage and current,calculate their sample entropy to obtain the fault feature vec-tor of photovoltaic grid connected inverters,and establish a fuzzy RBF neural network for automatic fault detection of photovoltaic grid connected inverters in weak power grid environments.The experiment shows that the system can ef-fectively collect the operating voltage and current data of photovoltaic grid connected inverters under weak power grids,and has good ability to extract intrinsic mode components.At the same time,it can effectively achieve automat-ic fault detection of photovoltaic grid connected inverters.

关 键 词：弱电网 并网逆变器 故障自动化检测 模糊RBF 经验模态分解 样本熵 

分 类 号：TM464[电气工程—电器] TP274[自动化与计算机技术—检测技术与自动化装置]