Handling Incomplete and Erroneous Grid Topology Information for Low Voltage Grid Observability

Kamal Shahid, Enrico Schiavone, Domagoj Drenjanac, M. Lyhne, R. Olsen, H. Schwefel
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引用次数: 4

Abstract

Grid topology information plays an important role in grid observability applications such as fault detection and diagnosis. For these applications, data from customer connections should be processed jointly with measurements from the distribution grid by Distribution System Operator (DSO) systems and also correlated to the LV grid topology. In practical DSO systems, the LV grid topology data is frequently included in their databases and may come from different systems such as Geographical Information System (GIS) or other asset management systems, which store a relevant part of the grid topology in a type-specific format. However, in most cases, the grid topology information is not utilized for grid observability applications due to several challenges such as lack of standard data models, complexities in extracting topology information, incorrect/incomplete topology information, dependence on multiple databases etc. Thus, this paper presents challenges and complexities faced by electrical utilities in extracting/using grid topology information for observability applications. The challenges are demonstrated using topology models from two real medium-sized distribution grid operators, which are currently being used in two different European countries.
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低压电网可观测性中不完整和错误网格拓扑信息的处理
网格拓扑信息在故障检测和诊断等网格可观测性应用中起着重要作用。对于这些应用,来自客户连接的数据应该由配电系统运营商(DSO)系统与来自配电网的测量数据联合处理,并与低压电网拓扑结构相关联。在实际的DSO系统中,LV网格拓扑数据经常包含在他们的数据库中,可能来自不同的系统,如地理信息系统(GIS)或其他资产管理系统,它们以特定类型的格式存储网格拓扑的相关部分。然而,在大多数情况下,由于缺乏标准的数据模型、拓扑信息提取的复杂性、拓扑信息的不正确/不完整、对多个数据库的依赖等挑战,网格拓扑信息并没有被用于网格可观察性应用。因此,本文提出了电力公司在可观测性应用中提取/使用网格拓扑信息所面临的挑战和复杂性。本文使用两个实际中型配电网运营商的拓扑模型来演示这些挑战,这些模型目前在两个不同的欧洲国家使用。
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