Optimal Control for Power System Signal Processing: A Joint Edge Collaboration and Relay Assistance Framework

IF 4.9 2区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Circuits and Systems II: Express Briefs Pub Date : 2025-08-21 DOI:10.1109/TCSII.2025.3601095

Mingrui Zhang;Xuguang Hu;Jingyu Wang

{"title":"Optimal Control for Power System Signal Processing: A Joint Edge Collaboration and Relay Assistance Framework","authors":"Mingrui Zhang;Xuguang Hu;Jingyu Wang","doi":"10.1109/TCSII.2025.3601095","DOIUrl":null,"url":null,"abstract":"This brief presents a signal processing system and its optimize control strategy for power systems. The proposed approach addresses the challenges of increased computational energy consumption and unbalanced processing task allocation. Firstly, a joint edge collaboration and relay assistance signal processing system architecture for power systems is proposed to address the issue of uneven signal processing task allocation. Secondly, a five-slot signal transmission architecture based on non-orthogonal multiple access technology is proposed, along with a method for representing signal processing costs, which solves the problem of signal processing cost quantification. Thirdly, a collaboration assistance computing and resource allocation algorithm is proposed to minimize signal processing costs. Finally, the proposed signal processing system is tested on a power system in China. The results demonstrate that it effectively mitigates the uneven resource allocation issue while significantly reducing signal processing costs.","PeriodicalId":13101,"journal":{"name":"IEEE Transactions on Circuits and Systems II: Express Briefs","volume":"72 10","pages":"1463-1467"},"PeriodicalIF":4.9000,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Circuits and Systems II: Express Briefs","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/11133475/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}

引用次数: 0

Abstract

This brief presents a signal processing system and its optimize control strategy for power systems. The proposed approach addresses the challenges of increased computational energy consumption and unbalanced processing task allocation. Firstly, a joint edge collaboration and relay assistance signal processing system architecture for power systems is proposed to address the issue of uneven signal processing task allocation. Secondly, a five-slot signal transmission architecture based on non-orthogonal multiple access technology is proposed, along with a method for representing signal processing costs, which solves the problem of signal processing cost quantification. Thirdly, a collaboration assistance computing and resource allocation algorithm is proposed to minimize signal processing costs. Finally, the proposed signal processing system is tested on a power system in China. The results demonstrate that it effectively mitigates the uneven resource allocation issue while significantly reducing signal processing costs.

查看原文本刊更多论文

电力系统信号处理的最优控制：一个联合边缘协作和继电器辅助框架

介绍了一种电力系统信号处理系统及其优化控制策略。提出的方法解决了计算能量消耗增加和处理任务分配不平衡的挑战。首先，针对电力系统信号处理任务分配不均的问题，提出了一种边缘协同中继辅助信号处理系统架构。其次，提出了一种基于非正交多址技术的五时隙信号传输架构，并提出了一种信号处理成本表示方法，解决了信号处理成本量化问题；第三，提出了一种协作辅助计算和资源分配算法，使信号处理成本最小化。最后，在国内某电力系统上对所提出的信号处理系统进行了测试。结果表明，该方法有效地缓解了资源分配不均的问题，同时显著降低了信号处理成本。

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

IEEE Transactions on Circuits and Systems II: Express Briefs 工程技术-工程：电子与电气

CiteScore

7.90

自引率

20.50%

发文量

883

审稿时长

3.0 months

期刊介绍： TCAS II publishes brief papers in the field specified by the theory, analysis, design, and practical implementations of circuits, and the application of circuit techniques to systems and to signal processing. Included is the whole spectrum from basic scientific theory to industrial applications. The field of interest covered includes: Circuits: Analog, Digital and Mixed Signal Circuits and Systems Nonlinear Circuits and Systems, Integrated Sensors, MEMS and Systems on Chip, Nanoscale Circuits and Systems, Optoelectronic Circuits and Systems, Power Electronics and Systems Software for Analog-and-Logic Circuits and Systems Control aspects of Circuits and Systems.