Prioritization of smart meters based on data monitoring for enhanced grid resilience

IF 4.5 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Computer Communications Pub Date : 2025-02-04 DOI:10.1016/j.comcom.2025.108082

Asma Farooq , Kamal Shahid , Rasmus Løvenstein Olsen

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引用次数: 0

Abstract

Smart meters (SM) generate critical data that provides real-time insights into energy consumption, grid performance, and load management, which are essential for improving grid reliability, energy efficiency, and renewable energy integration. However, achieving effective communication between smart meters and the control center remains a challenge due to limitations in Advanced Metering Infrastructure (AMI), including communication delays, metering technology constraints, and restricted data storage and processing capabilities. These limitations hinder the precision and timeliness of real-time data delivery, negatively impacting the efficiency of energy management and grid operations. While existing research predominantly focuses on optimizing communication network algorithms, the critical issue of comprehensive SM data scheduling has received limited attention. Moreover, current methods often fail to account for the complexity of communication networks and the dynamic nature of information flow. To address this gap, this paper introduces a novel method for scheduling SM data access by leveraging real-time data assessment and analysis. A quality metric termed mismatch probability evaluates data quality, and the Hungarian algorithm is employed to optimize meter scheduling. The proposed method is validated using real-world data from a Danish grid, demonstrating significant improvements in information quality for real-time monitoring compared to heuristic-based scheduling approaches.

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基于数据监测的智能电表的优先级，以增强电网的弹性

智能电表（SM）生成关键数据，提供对能源消耗、电网性能和负载管理的实时洞察，这对于提高电网可靠性、能源效率和可再生能源集成至关重要。然而，由于高级计量基础设施（AMI）的限制，包括通信延迟、计量技术约束以及受限制的数据存储和处理能力，实现智能电表与控制中心之间的有效通信仍然是一个挑战。这些限制阻碍了实时数据传输的准确性和及时性，对能源管理和电网运行的效率产生了负面影响。虽然现有的研究主要集中在优化通信网络算法上，但SM数据综合调度的关键问题却很少得到关注。此外，目前的方法往往不能考虑到通信网络的复杂性和信息流的动态性。为了解决这一差距，本文介绍了一种利用实时数据评估和分析来调度SM数据访问的新方法。一种称为失配概率的质量度量来评估数据质量，并采用匈牙利算法来优化仪表调度。该方法通过丹麦电网的真实数据进行了验证，与启发式调度方法相比，实时监控的信息质量有了显著提高。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computer Communications 工程技术-电信学

CiteScore

14.10

自引率

5.00%

发文量

397

审稿时长

66 days

期刊介绍： Computer and Communications networks are key infrastructures of the information society with high socio-economic value as they contribute to the correct operations of many critical services (from healthcare to finance and transportation). Internet is the core of today''s computer-communication infrastructures. This has transformed the Internet, from a robust network for data transfer between computers, to a global, content-rich, communication and information system where contents are increasingly generated by the users, and distributed according to human social relations. Next-generation network technologies, architectures and protocols are therefore required to overcome the limitations of the legacy Internet and add new capabilities and services. The future Internet should be ubiquitous, secure, resilient, and closer to human communication paradigms. Computer Communications is a peer-reviewed international journal that publishes high-quality scientific articles (both theory and practice) and survey papers covering all aspects of future computer communication networks (on all layers, except the physical layer), with a special attention to the evolution of the Internet architecture, protocols, services, and applications.