Rapidly populating renewable energy sources and storage units at the distribution system, made it crucial to monitor the system in real-time. This necessity brings new challenges and business opportunities for the distribution system operator (DSO). DSO requires situational awareness on the system via several analyses, most of which rely on correct system topology. However, switch statuses of the distribution system may not be telemetered or transferred correctly to the DSO, despite having several switching actions daily. This paper proposes a state estimation based method for distribution systems with limited number of measurements to detect and identify topology error. The method is applicable with both conventional SCADA and/or PMU measurements. Weighted Least Absolute Values (WLAV) state estimator is employed because of its robustness against inaccurate measurements or bad data. The computational performance of the proposed method is comparable with that of the WLAV state estimator, and hence applicable in practical applications.

中文翻译：

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测量次数有限的配电网中基于 WLAV 状态估计的拓扑错误检测和识别

配电系统中可再生能源和存储单元的快速增长使得实时监控系统变得至关重要。这种必要性为配电系统运营商（DSO）带来了新的挑战和商机。 DSO 需要通过多种分析来了解系统的态势，其中大多数分析依赖于正确的系统拓扑。然而，尽管每天都会进行多次开关操作，但配电系统的开关状态可能无法正确遥测或传输到 DSO。本文提出了一种基于状态估计的方法，用于测量次数有限的配电系统，以检测和识别拓扑错误。该方法适用于传统 SCADA 和/或 PMU 测量。采用加权最小绝对值 (WLAV) 状态估计器是因为它对不准确的测量或不良数据具有鲁棒性。该方法的计算性能与WLAV状态估计器相当，因此适用于实际应用。