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Optimal Sensor Placement for Topology Identification in Smart Power Grids

机译:智能电网中拓扑识别的最佳传感器布置

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Accurate network topology information is critical for secure operation of smart power distribution systems. Line outages can change the operational topology of a distribution network. As a result, topology identification by detecting outages is an important task to avoid mismatch between the topology that the operator believes is present and the actual topology. Power distribution systems are operated as radial trees and are recently adopting the integration of sensors to monitor the network in real time. In this paper, an optimal sensor placement solution is proposed that enables outage detection through statistical tests based on sensor measurements. Using two types of sensors, node sensors and line sensors, we propose a novel formulation for the optimal sensor placement as a cost optimization problem with binary decision variables, i.e., to place or not place a sensor at each bus/line. The advantage of the proposed placement strategy for outage detection is that it incorporates various types of sensors, is independent of load forecast statistics and is cost effective. Numerical results illustrating the placement solution are presented.
机译:准确的网络拓扑信息对于智能配电系统的安全运行至关重要。线路中断可以改变分销网络的操作拓扑。结果,通过检测中断的拓扑识别是避免操作员认为存在的拓扑和实际拓扑之间的拓扑之间的不匹配。配电系统作为径向树操作,最近采用传感器的集成,实时监控网络。在本文中,提出了一种最佳传感器放置解决方案,其通过基于传感器测量来通过统计测试中断检测。使用两种类型的传感器,节点传感器和线路传感器,我们提出了一种新颖的传感器,用于最佳传感器放置作为具有二进制判定变量的成本优化问题,即放置或不在每个总线/线上放置传感器。所提出的停电检测策略的优点是它包含各种类型的传感器,与负载预测统计数据无关,并且具有成本效益。提出了说明放置解决方案的数值结果。

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