智能电表作为传感器网络的一部分,用于监测低压电网

A. Dede, D. D. Giustina, S. Rinaldi, P. Ferrari, A. Flammini, A. Vezzoli
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引用次数: 28

摘要

传统的低压电网都配有电表,用于对用户消耗的电能进行核算。最近,电子仪表的使用为远程读数提供了可能。本文讨论了智能传感:取代传统计量装置的第二代智能电表和第一代电子电表,以提取更丰富和接近实时的信息。这些信息随后在需要的地方通过快速通信网络传输。换句话说,部署在配电网上的智能电表创建了一个用于电网控制和管理的传感器网络。拟议系统中采用的智能单元能够使用标准计量协议(如DLMS/COSEM)进行通信,允许与使用这些信息进行计费和客户关系管理的系统进行高级集成(如今天的自动仪表管理系统),以及低压电力基础设施(如配电管理系统)的技术管理。本文介绍了一个由50多台新一代快速宽带通信智能电表组成的智能传感器网络在实际电网中的试点安装。在为期两个月的测量活动中,智能电表网络被用来监测部分配电网的电能质量。在活动期间,电网电压只有3%的时间低于标称值的5%,尽管分布式可再生资源大量存在。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart meters as part of a sensor network for monitoring the low voltage grid
Traditional low voltage grids are equipped with meters for the accounting of the energy consumed by customers. Recently, the use of electronic meters offers the possibility of the remote reading. This paper deals with smart sensing: a second-generation Smart Meters replacing traditional metering device, and the first generation of electronic meters, in order to extract a richer and near real-time information. This information in then transferred on a fast communication network where is needed. In other words, the Smart Meters deployed over the distribution grid create a Sensor Network used for grid control and management. The intelligent unit employed in the proposed system is able to communicate using standard metering protocols like DLMS/COSEM, allowing high-level integration with systems that use this information for both billing and customer relationship management - as is today with Automatic Meter Management systems - and for the technical management of the LV power infrastructure like Distribution Management Systems. The paper presents a pilot installation in a real grid of the smart sensor network composed about 50 new-generation Smart Meters using fast - broad-band - communication. The network of Smart Meters has been used to monitor, during a measurement campaign of two months, the Power Quality of a part of the distribution grid. During the campaign, the grid voltage is below the 5 % of the nominal value only for the 3 % of the time, despite the large presence of distributed renewable resources.
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