{"title":"Harmonic frequency estimation of power systems","authors":"J. Wu, B.T. He, Y. Hu, D. Luo, Y. Liang","doi":"10.1109/PSCE.2004.1397487","DOIUrl":null,"url":null,"abstract":"This paper presents a hybrid technique for harmonic frequency estimation of nonsinusoidal signals of power systems with high order harmonics using central numerical differentiation and digital FIR filter algorithm. A digital low-pass FIR filter is used to obtain the discrete values of the fundamental sinusoidal component, and a set of digital band-pass FIR filter is applied to compute the discrete values of the harmonic component. Using 6 points numerical differentiation, these discrete values are used for fundamental and harmonic frequency estimation. For a signal with 20 harmonics, the technique requires at most 2 cycles (40 ms) for the first time of estimation computation, and requires at most 1 cycle for the latter estimation. Comparing with other existing techniques, the proposed algorithm is characteristic of high accuracy and much less time. With satisfactory results, a study example is given to illustrate the proposed algorithm in Matlab.","PeriodicalId":308184,"journal":{"name":"IEEE PES Power Systems Conference and Exposition, 2004.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE PES Power Systems Conference and Exposition, 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PSCE.2004.1397487","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a hybrid technique for harmonic frequency estimation of nonsinusoidal signals of power systems with high order harmonics using central numerical differentiation and digital FIR filter algorithm. A digital low-pass FIR filter is used to obtain the discrete values of the fundamental sinusoidal component, and a set of digital band-pass FIR filter is applied to compute the discrete values of the harmonic component. Using 6 points numerical differentiation, these discrete values are used for fundamental and harmonic frequency estimation. For a signal with 20 harmonics, the technique requires at most 2 cycles (40 ms) for the first time of estimation computation, and requires at most 1 cycle for the latter estimation. Comparing with other existing techniques, the proposed algorithm is characteristic of high accuracy and much less time. With satisfactory results, a study example is given to illustrate the proposed algorithm in Matlab.