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

A system to automatically identify metering constraints of one or more Intelligent Electronic Devices (IEDs) in an electrical system, comprising:

• at least one processor;
• at least one memory device coupled to the at least one processor, the at least one processor and the at least one memory device configured to:
• process electrical measurement data from, or derived from, at least one energy-related waveform captured using at least one of the IEDs in the electrical system in real-time, pseudo-real time, or historically to detect a high-speed event by identifying anomalous characteristics in the electrical system, wherein the high-speed event is a transient event;
• in response to identifying anomalous characteristics in the electrical measurement data, build an event constraint model based on or by using the identified anomalous characteristics;
• analyze the event constraint model to determine if the at least one energy-related waveform is being adequately captured by the at least one of the IEDs to enable detection of the high-speed event, including determining the capturing inadequacy is due to a lack of information about the energy-waveform, wherein the lack of information is due to the high speed and transience of the high-speed event;
• and
• in response to determining the at least one energy-related waveform is not adequately captured, take one or more actions to address the capturing inadequacy, including taking the one or more actions to enable capturing the at least one energy-related waveform to obtain the information about the energy-waveform associated with the high-speed event that was lacking.