基于最小二乘法的并网光伏逆变器运行故障识别方法  

Fault Identification Method of Grid Connected Photovoltaic Inverter Based on Least Square Method

作　　者：刘海东 LIU Haidong(Shanghai Chint Power System Co.,Ltd.,Shanghai 201620,China)

机构地区：[1]上海正泰电源系统有限公司,上海201620

出　　处：《通信电源技术》2022年第12期86-88,共3页Telecom Power Technology

摘　　要：现有的并网光伏逆变器运行故障识别方法容易受到背景噪声的影响,降低了故障识别的准确性,因此引进最小二乘法,设计了一种针对并网光伏逆变器运行故障的识别方法。利用经验模态分解(Empirical Mode Decomposition,EMD)算法,对光伏逆变器运行的故障信号进行分解,使其成为能够被加工的线性平滑IMF分量成分,通过此种方式进行逆变器运行信号提取与处理。引进最小二乘法,对处理后的并网光伏逆变器运行信号按照时序进行匹配,提取存在异常状态的信号分量,进行异常曲线的拟合。引进蝙蝠算法,根据检索空间维度,实现逆变器故障的识别。通过对比实验证明,提出方法对并网光伏逆变器运行故障识别的准确性更高。The existing fault identification methods for grid connected PV inverters are easily affected by background noise,which reduces the accuracy of fault identification.Therefore,this paper introduces the least square method to design a fault identification method for grid connected photovoltaic inverter.The Empirical Mode Decomposition(EMD)algorithm is used to decompose the fault signal of the photovoltaic inverter operation to make it a linear smooth IMF component that can be processed.In this way,the inverter operation signal is extracted and processed.The least square method is introduced to match the operation signal of the grid connected photovoltaic inverter after processing according to the time sequence,extract the signal component with abnormal state,and fit the abnormal curve.Bat algorithm is introduced to realize inverter fault identification according to the dimension of retrieval space.The comparative experiments show that the proposed method is more accurate in identifying the operation faults of grid connected photovoltaic inverters.

关 键 词：最小二乘法 异常曲线 识别方法 运行故障 光伏逆变器 并网 

分 类 号：TM464[电气工程—电器] TM615