摘要
谐波损耗是造成励磁变压器安全事故的主要原因之一,损耗值过大易影响正常变电和输电,为此提出基于小波包分解重构的励磁变压器整流谐波附加损耗计算方法。通过获取小波包分解和重构系数,分析励磁变压器两种谐波附加损耗;利用开路和短路实验得到励磁变压器等效电路参数,采用小波包分解重构算法,计算不同谐波次数下的电阻和电抗并与基准值对比,得到励磁变压器整流谐波附加损耗值。最后,选取某种型号的励磁变压器,利用所提方法计算其在不同谐波次数下的附加损耗值,结果表明,得到的损耗值计算结果与实际结果非常接近,验证了所提方法具有较高的实用价值。
Harmonic loss is one of the main causes of safety accidents in excitation transformers.If the loss value is too large,it can easily affect normal substation and transmission.Therefore,a method based on wavelet packet decomposition and reconstruction was proposed to calculate the additional loss of rectification harmonics in excitation transformers.By obtaining wavelet packet decomposition and reconstruction coefficients,the additional losses of two types of harmonics in excitation transformers were analyzed.The open circuit and short circuit experiments were used to obtain the equivalent circuit parameters of the excitation transformer,and the wavelet packet decomposition and reconstruction algorithm was used to calculate the resistance and reactance under different harmonic frequencies,and compare them with the reference value to obtain the additional loss value of the rectification harmonic of the excitation transformer.Finally,a certain type of excitation transformer was selected and used the proposed method to calculate its additional loss value under different harmonic frequencies.The results show that the calculated loss value is very close to the actual results,verifying the high practical value of the proposed method.
作者
楼彬
海瑛
LOU Bin;HAI Ying(Mechanical and Electrical and Transportation Branch,Jiaxing Nanyang Vocational and Technical College,Jiaxing 314031,Zhejiang,China;School of Information Science and Engineering,Jiaxing University,Jiaxing 314001,Zhejiang,China)
出处
《电气传动》
2024年第6期9-15,共7页
Electric Drive
基金
浙江省教育厅一般科研项目(Y202044377)。
关键词
小波包分解重构
整流谐波
附加损耗计算
励磁变压器
等效电路参数
非线性负载
wavelet packet decomposition and reconstruction
rectification harmonic
calculation of additional losses
excitation transformer
equivalent circuit parameters
nonlinear load
