Systems and methods for improving identification of issues associated with detecting anomalous conditions

Abstract

Systems and methods for improving identification of issues associated with detecting anomalous conditions (e.g., electrical transient voltages) in electrical systems are disclosed herein. The anomalous conditions may be difficult to discern, for example, due to metering constraints of Intelligent Electronic Devices (IEDs) responsible for identifying the anomalous conditions in the electrical systems. In one aspect of this disclosure, a method to automatically identify metering constraints of one or more IEDs in an electrical system includes capturing at least one energy-related waveform using at least one of the IEDs in the electrical system, and processing electrical measurement data from, or derived from, the at least one energy-related waveform to identify anomalous characteristics in the electrical system. The anomalous characteristics may be indicative of an anomalous condition in the electrical system, for example. In response to identifying anomalous characteristics in the electrical measurement data, an event constraint model is built based on or by using the identified anomalous characteristics. Once built, the event constraint model is analyzed to determine if the at least one energy-related waveform is being adequately captured by the at least one of the IEDs. In response to determining the at least one energy-related waveform is not adequately captured, one or more actions may be taken to address the capturing inadequacy.

Dependencies are inferred from the claim text.