{"title":"利用恒q Gabor变换分析智能电网电压扰动","authors":"V. Katić, Aleksandar M. Stanisavljević","doi":"10.1109/INDEL50386.2020.9266255","DOIUrl":null,"url":null,"abstract":"The paper addresses the possibility of using the Constant-Q Gabor transform (QGT) for voltage disturbance analysis in smart grids. We have implemented and tested our ideas on an IEEE-13 bus test system with a high level of distributed generation. We also compare the results of our GT algorithm with the state-of-the-art approaches such as the Fast Fourier Transform (FFT) and the Short-time Fourier Transform (STFT). We show that QGT exhibits significantly better performance in detecting disturbances in the grid than the other two applied methods, even though it has the same computational complexity. We argue that QGT can be a good choice in applications where the computational power of microprocessors is limited, and simplicity is preferable; therefore, it can be a viable alternative to machine learning-based methods.","PeriodicalId":369921,"journal":{"name":"2020 International Symposium on Industrial Electronics and Applications (INDEL)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Utilization of the Constant-Q Gabor transform for analysis of voltage disturbance in smart grids\",\"authors\":\"V. Katić, Aleksandar M. Stanisavljević\",\"doi\":\"10.1109/INDEL50386.2020.9266255\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper addresses the possibility of using the Constant-Q Gabor transform (QGT) for voltage disturbance analysis in smart grids. We have implemented and tested our ideas on an IEEE-13 bus test system with a high level of distributed generation. We also compare the results of our GT algorithm with the state-of-the-art approaches such as the Fast Fourier Transform (FFT) and the Short-time Fourier Transform (STFT). We show that QGT exhibits significantly better performance in detecting disturbances in the grid than the other two applied methods, even though it has the same computational complexity. We argue that QGT can be a good choice in applications where the computational power of microprocessors is limited, and simplicity is preferable; therefore, it can be a viable alternative to machine learning-based methods.\",\"PeriodicalId\":369921,\"journal\":{\"name\":\"2020 International Symposium on Industrial Electronics and Applications (INDEL)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Symposium on Industrial Electronics and Applications (INDEL)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INDEL50386.2020.9266255\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Symposium on Industrial Electronics and Applications (INDEL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDEL50386.2020.9266255","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Utilization of the Constant-Q Gabor transform for analysis of voltage disturbance in smart grids
The paper addresses the possibility of using the Constant-Q Gabor transform (QGT) for voltage disturbance analysis in smart grids. We have implemented and tested our ideas on an IEEE-13 bus test system with a high level of distributed generation. We also compare the results of our GT algorithm with the state-of-the-art approaches such as the Fast Fourier Transform (FFT) and the Short-time Fourier Transform (STFT). We show that QGT exhibits significantly better performance in detecting disturbances in the grid than the other two applied methods, even though it has the same computational complexity. We argue that QGT can be a good choice in applications where the computational power of microprocessors is limited, and simplicity is preferable; therefore, it can be a viable alternative to machine learning-based methods.