Identification of topology faults by smart meter data in meshed low voltage grids

Abstract

The integration of distributed generation causes an increase of the voltage magnitude in low voltage grids. In addition to classical grid expansion distribution system operators have various options at their hands to reduce the voltage rise, e.g. by installing distribution transformers with on-load tap changers or voltage regulators. For efficient control the network operator need information on relevant operational system parameters. The classical approach of using measurement and monitoring devices from SCADA systems is comparatively too expansive and complex. In future, smart meters can provide information about the relevant operational data. In addition these data can enable the identification of topology faults in meshed low voltage grids. This paper proposes a simple approach for the identification of topology faults including some analysis on the probability of detecting such faults even in case of a scarce population with smart meters. The presented approach includes the preprocessing and plausibility checks of smart meter data, a comparative analysis of measured and calculated voltages and evaluating functions. Despite the simplicity of the process, the results gathered from a field test are promising, provided that line lengths are not too short and currents not too small.