A recursive filtering approach to power harmonic detection with stochastic communication delays: Tackling amplify-and-forward relays

IF 4.8 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Automatica Pub Date : 2024-10-03 DOI:10.1016/j.automatica.2024.111968

Guhui Li , Zidong Wang , Xingzhen Bai , Zhongyi Zhao , Yezheng Wang

{"title":"A recursive filtering approach to power harmonic detection with stochastic communication delays: Tackling amplify-and-forward relays","authors":"Guhui Li , Zidong Wang , Xingzhen Bai , Zhongyi Zhao , Yezheng Wang","doi":"10.1016/j.automatica.2024.111968","DOIUrl":null,"url":null,"abstract":"<div><div>This paper focuses on the power harmonic detection problem in smart grids with relay transmissions and stochastic communication delays. A model is established using an orthogonal vector to capture the dynamics of harmonic signals with direct current attenuation components. For the assurance of reliable information delivery, a strategy employing an amplify-and-forward relay with stochastic transmission power is used to schedule data from sensors to the remote filter. Furthermore, a set of random variables that obey Bernoulli distributions is used to characterize the stochastic nature of the communication delays. With the goal of achieving accurate power harmonic detection, a recursive filtering algorithm is aimed to be designed in the presence of the amplify-and-forward relay strategy and stochastic communication delays, which ensures that the desired filter gain parameter is derived recursively by minimizing the upper bound on the filtering error covariance. Ultimately, the effectiveness of the proposed filtering algorithm is demonstrated through simulation experiments on power harmonic detection, thereby verifying its capability in tracking harmonic dynamics.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"171 ","pages":"Article 111968"},"PeriodicalIF":4.8000,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automatica","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S000510982400462X","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}

引用次数: 0

Abstract

This paper focuses on the power harmonic detection problem in smart grids with relay transmissions and stochastic communication delays. A model is established using an orthogonal vector to capture the dynamics of harmonic signals with direct current attenuation components. For the assurance of reliable information delivery, a strategy employing an amplify-and-forward relay with stochastic transmission power is used to schedule data from sensors to the remote filter. Furthermore, a set of random variables that obey Bernoulli distributions is used to characterize the stochastic nature of the communication delays. With the goal of achieving accurate power harmonic detection, a recursive filtering algorithm is aimed to be designed in the presence of the amplify-and-forward relay strategy and stochastic communication delays, which ensures that the desired filter gain parameter is derived recursively by minimizing the upper bound on the filtering error covariance. Ultimately, the effectiveness of the proposed filtering algorithm is demonstrated through simulation experiments on power harmonic detection, thereby verifying its capability in tracking harmonic dynamics.

查看原文本刊更多论文

利用随机通信延迟进行功率谐波检测的递归滤波方法：解决放大-前向中继问题

本文重点研究了智能电网中的电力谐波检测问题，该问题具有中继传输和随机通信延迟。本文利用正交向量建立了一个模型，以捕捉带有直流衰减成分的谐波信号的动态变化。为确保可靠的信息传输，采用了一种具有随机传输功率的放大-前向中继策略，将数据从传感器调度到远程滤波器。此外，还使用了一组服从伯努利分布的随机变量来描述通信延迟的随机性质。为了实现精确的功率谐波检测，我们设计了一种递归滤波算法，在存在放大-前向中继策略和随机通信延迟的情况下，确保通过最小化滤波误差协方差的上界，递归得出所需的滤波增益参数。最后，通过功率谐波检测仿真实验证明了所提滤波算法的有效性，从而验证了其跟踪谐波动态的能力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Automatica 工程技术-工程：电子与电气

CiteScore

10.70

自引率

7.80%

发文量

617

审稿时长

5 months

期刊介绍： Automatica is a leading archival publication in the field of systems and control. The field encompasses today a broad set of areas and topics, and is thriving not only within itself but also in terms of its impact on other fields, such as communications, computers, biology, energy and economics. Since its inception in 1963, Automatica has kept abreast with the evolution of the field over the years, and has emerged as a leading publication driving the trends in the field. After being founded in 1963, Automatica became a journal of the International Federation of Automatic Control (IFAC) in 1969. It features a characteristic blend of theoretical and applied papers of archival, lasting value, reporting cutting edge research results by authors across the globe. It features articles in distinct categories, including regular, brief and survey papers, technical communiqués, correspondence items, as well as reviews on published books of interest to the readership. It occasionally publishes special issues on emerging new topics or established mature topics of interest to a broad audience. Automatica solicits original high-quality contributions in all the categories listed above, and in all areas of systems and control interpreted in a broad sense and evolving constantly. They may be submitted directly to a subject editor or to the Editor-in-Chief if not sure about the subject area. Editorial procedures in place assure careful, fair, and prompt handling of all submitted articles. Accepted papers appear in the journal in the shortest time feasible given production time constraints.