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Experimental deployment of a self-organizing sensors network for dynamic thermal rating assessment of overhead lines

机译:自组织传感器网络的实验部署,用于架空线的动态热额定值评估

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Dynamic thermal rating (DTR) assessment of overhead lines is recognized as an enabling technology for reliably improving the exploitation of existing power transmission assets. In this context, the conceptualization of decentralized sensors networks aimed at performing all the DTR functions in an easy-to-use and well-defined way, represents one of the most promising research direction. To address this issue, this paper proposes a self-organizing computing framework based on a network of cooperative smart sensors, which solves the synchronization, identification and prediction problems required for DTR assessment, without the need for centralized data acquisition and processing. Experimental results obtained on a real test-bed are presented and discussed in order to demonstrate the effectiveness of the proposed framework. (C) 2017 Elsevier B.V. All rights reserved.
机译:架空线的动态热额定值(DTR)评估被认为是一种可靠的技术,可以可靠地改善对现有输电资产的利用。在这种情况下,旨在以易于使用和定义明确的方式执行所有DTR功能的分散式传感器网络的概念化,是最有前途的研究方向之一。为了解决这个问题,本文提出了一种基于协作智能传感器网络的自组织计算框架,该框架解决了DTR评估所需的同步,识别和预测问题,而无需进行集中的数据采集和处理。提出并讨论了在真实测试床上获得的实验结果,以证明所提出框架的有效性。 (C)2017 Elsevier B.V.保留所有权利。

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