Extraction of CIM-Based Distribution Grid Topology Information for Observability

Kamal Shahid, Enrico Schiavone, Domagoj Drenjanac, Rasmus Pedersen Bæklund, R. Olsen, H. Schwefel
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引用次数: 4

Abstract

In order to implement fault-detection and diagnosis applications in Low Voltage (LV) grids, the data from customer connections needs to be processed jointly with measurements from the distribution grid by other Distribution System Operator (DSO) systems and in addition correlated to the LV grid topology. In practical DSO systems, the LV grid topology data is included in asset management databases and may use the Common Information Model (CIM) as data model. This grid topology information plays an important role in fault-detection and diagnosis. Thus, this paper presents an architecture and a concrete implementation to extract relevant grid topology information for use in fault detection and diagnosis from a CIM based asset management database. The approach is demonstrated and validated via CIM-based grid topology model from a real medium-sized distribution grid operator.
基于cim的配电网格拓扑信息可观测性提取
为了在低压电网中实现故障检测和诊断应用,来自客户连接的数据需要与其他配电系统(DSO)来自配电网的测量数据联合处理,此外还需要与低压电网拓扑相关联。在实际DSO系统中,LV网格拓扑数据包含在资产管理数据库中,可以使用公共信息模型(CIM)作为数据模型。这种网格拓扑信息在故障检测和诊断中起着重要的作用。因此,本文提出了一种从基于CIM的资产管理数据库中提取相关网格拓扑信息用于故障检测和诊断的体系结构和具体实现。通过一个实际中型配电网运营商基于cim的电网拓扑模型对该方法进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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