基于边缘的智能电网相量测量体系结构

S. Galantino, Fulvio Risso, Andrea Cazzaniga, F. Garrone, R. Terruggia, R. Lazzari
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引用次数: 0

摘要

本文研究了Kubernetes和边缘计算技术在电力系统和智能电网背景下运行IT服务的应用。传统的电网监控服务,如相量测量单元(pmu)和相量数据集中器(PDCs),需要集中式架构和严格的网络基础设施才能正常工作,目前只能在高压(HV)传输级别实现。此外,手动干预通常是pmu / pdc维护的唯一选择。在这项工作中,传统的PMU/PDC服务被部署为分布式Kubernetes集群中的docker-container,它可以代表任何地理上分散的TCP/IP网络。通过利用远程编排,可以实现以下几个关键优势:(1)在网络重新配置时无需手动重新配置PMU-PDC通信;(2)在PDC服务重新部署到不同位置时自动重定向PMU流量;(3)减少PDC故障时的数据丢失,并通过最小化ICT服务停机时间增强整体系统弹性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Edge-based Architecture for Phasor Measurements in Smart Grids
This paper investigates the application of Kubernetes and Edge computing technologies to operate IT services in the context of power systems and smart grids. Traditional services for grid monitoring such as Phasor Measurement Units (PMUs) and Phasor Data Concentrators (PDCs) require a centralized architecture and a rigid networking infrastructure in order to properly function, which today is only achieved at the High Voltage (HV) transmission level. Furthermore, manual intervention is often the only option for PMUs/PDCs maintenance. In this work, the traditional PMU/PDC services were deployed as docker-containers in a decentralized Kubernetes cluster, which can represent any kind of geographically dispersed TCP/IP network. By leveraging remote orchestration, several key benefits are achieved: (1) no manual reconfiguration of the PMU-PDC communications upon network reconfiguration, (2) automatic PMU traffic redirection in case of PDC service redeployment in a different location, and (3) reduced data-loss upon PDC failure and enhanced overall system resiliency due to minimized ICT services down-time.
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