{"title":"电能表测量中的非正弦谐波信号检测方法","authors":"Zhen Gu, Qing He, Lei Zhou, Jingyue Zhang","doi":"10.1109/ICSP54964.2022.9778766","DOIUrl":null,"url":null,"abstract":"With the wide application of electronic devices, harmonic pollution in power field is becoming more and more serious, non-sinusoidal harmonics is the most important influencing factor. In the process of detecting non-sinusoidal harmonic signal, there exists the problem of relatively large error of frequency measurement. The non-sinusoidal harmonic extraction method was optimized to remove the noise part. According to the change of power supply network and the distribution of non-sinusoidal harmonic pollution sources, the signal reconstruction model was constructed by using electricity meter measurement, and the signal detection mode was set by using wavelet transform. Experimental results: The mean relative errors of frequency measurement between the non-sinusoidal harmonic signal detection method in this paper and the other two detection methods are respectively 0.0260, 0.0316 and 0.0322, which proves that the performance of the non-sinusoidal harmonic signal detection method designed has been improved after combining with the metering method of electricity meter.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Non-sinusoidal harmonic signal detection method for energy meter measurement\",\"authors\":\"Zhen Gu, Qing He, Lei Zhou, Jingyue Zhang\",\"doi\":\"10.1109/ICSP54964.2022.9778766\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the wide application of electronic devices, harmonic pollution in power field is becoming more and more serious, non-sinusoidal harmonics is the most important influencing factor. In the process of detecting non-sinusoidal harmonic signal, there exists the problem of relatively large error of frequency measurement. The non-sinusoidal harmonic extraction method was optimized to remove the noise part. According to the change of power supply network and the distribution of non-sinusoidal harmonic pollution sources, the signal reconstruction model was constructed by using electricity meter measurement, and the signal detection mode was set by using wavelet transform. Experimental results: The mean relative errors of frequency measurement between the non-sinusoidal harmonic signal detection method in this paper and the other two detection methods are respectively 0.0260, 0.0316 and 0.0322, which proves that the performance of the non-sinusoidal harmonic signal detection method designed has been improved after combining with the metering method of electricity meter.\",\"PeriodicalId\":363766,\"journal\":{\"name\":\"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSP54964.2022.9778766\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSP54964.2022.9778766","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Non-sinusoidal harmonic signal detection method for energy meter measurement
With the wide application of electronic devices, harmonic pollution in power field is becoming more and more serious, non-sinusoidal harmonics is the most important influencing factor. In the process of detecting non-sinusoidal harmonic signal, there exists the problem of relatively large error of frequency measurement. The non-sinusoidal harmonic extraction method was optimized to remove the noise part. According to the change of power supply network and the distribution of non-sinusoidal harmonic pollution sources, the signal reconstruction model was constructed by using electricity meter measurement, and the signal detection mode was set by using wavelet transform. Experimental results: The mean relative errors of frequency measurement between the non-sinusoidal harmonic signal detection method in this paper and the other two detection methods are respectively 0.0260, 0.0316 and 0.0322, which proves that the performance of the non-sinusoidal harmonic signal detection method designed has been improved after combining with the metering method of electricity meter.