{"title":"基于Haar变换- proony混合方法的功率测量","authors":"Nedim Aktan Yalcin , Fahri Vatansever","doi":"10.1016/j.asej.2025.103736","DOIUrl":null,"url":null,"abstract":"<div><div>Power and power quality are among the most important concepts in electrical systems. This paper introduces a novel approach for power measurements or calculations in energy systems, employing the discrete Haar transform and Prony method. The technique stands out by offering an enhanced representation of the power spectrum. This improvement is achieved through the successful decomposition of the frequency spectrum. Unlike Fourier series, this method captures frequencies that are not merely integer multiples of the main harmonic, leading to a more comprehensive depiction of the power spectrum. To verify the effectiveness of the proposed method, simulations were performed on synthetic and real data and results with high accuracy were obtained. The technique demonstrates its prowess in accurately characterizing power spectra, showcasing its potential for applications in electrical systems where a more nuanced and precise analysis of frequency components is essential for a comprehensive understanding of the system behavior.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 11","pages":"Article 103736"},"PeriodicalIF":5.9000,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Power measurements based on hybrid Haar transform-Prony method\",\"authors\":\"Nedim Aktan Yalcin , Fahri Vatansever\",\"doi\":\"10.1016/j.asej.2025.103736\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Power and power quality are among the most important concepts in electrical systems. This paper introduces a novel approach for power measurements or calculations in energy systems, employing the discrete Haar transform and Prony method. The technique stands out by offering an enhanced representation of the power spectrum. This improvement is achieved through the successful decomposition of the frequency spectrum. Unlike Fourier series, this method captures frequencies that are not merely integer multiples of the main harmonic, leading to a more comprehensive depiction of the power spectrum. To verify the effectiveness of the proposed method, simulations were performed on synthetic and real data and results with high accuracy were obtained. The technique demonstrates its prowess in accurately characterizing power spectra, showcasing its potential for applications in electrical systems where a more nuanced and precise analysis of frequency components is essential for a comprehensive understanding of the system behavior.</div></div>\",\"PeriodicalId\":48648,\"journal\":{\"name\":\"Ain Shams Engineering Journal\",\"volume\":\"16 11\",\"pages\":\"Article 103736\"},\"PeriodicalIF\":5.9000,\"publicationDate\":\"2025-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ain Shams Engineering Journal\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2090447925004770\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ain Shams Engineering Journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2090447925004770","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Power measurements based on hybrid Haar transform-Prony method
Power and power quality are among the most important concepts in electrical systems. This paper introduces a novel approach for power measurements or calculations in energy systems, employing the discrete Haar transform and Prony method. The technique stands out by offering an enhanced representation of the power spectrum. This improvement is achieved through the successful decomposition of the frequency spectrum. Unlike Fourier series, this method captures frequencies that are not merely integer multiples of the main harmonic, leading to a more comprehensive depiction of the power spectrum. To verify the effectiveness of the proposed method, simulations were performed on synthetic and real data and results with high accuracy were obtained. The technique demonstrates its prowess in accurately characterizing power spectra, showcasing its potential for applications in electrical systems where a more nuanced and precise analysis of frequency components is essential for a comprehensive understanding of the system behavior.
期刊介绍:
in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance.
Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.