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Synchronous Waveform Measurements to Locate Transient Events and Incipient Faults in Power Distribution Networks

Milad Izadi, Hamed Mohsenian‐Rad

2021IEEE Transactions on Smart Grid61 citationsDOIOpen Access PDF

Abstract

A new method is proposed to identify the location of transient events, including incipient faults, in power distribution systems, by using synchronized measurements from an emerging class of sensors, called waveform measurement units (WMUs). WMUs capture the voltage and current waveforms in time domain. The proposed method consists of three steps. The first step is to characterize the oscillatory modes of the transient components of all the captured synchronized voltage and current waveforms from all WMUs, by conducting a multi-signal modal analysis. The second step is to construct a circuit model for the underlying distribution feeder at the identified dominant mode(s) of the transient event. The final step is to identify the location of the transient event with the means of a method that involves certain forward and backward analyses of the constructed circuit model. The proposed method requires installing as few as only two WMUs. It can also utilize several synchronized waveform measurements when several WMUs are available. The performance of the proposed method is assessed on the IEEE 33-bus test system; for different cases of transient events, such as sub-cycle incipient faults, multi-cycle incipient faults, permanent faults, as well as benign yet informative events such as capacitor bank switching. Both the accuracy and the robustness of the proposed method are verified. The analysis and results in this paper provide new insights on possible applications of synchronized WMU measurements; while they also address a highly challenging problem in power distribution networks.

Topics & Concepts

WaveformTransient (computer programming)Robustness (evolution)Electronic engineeringTime domainComputer scienceCapacitorVoltageElectric power systemEngineeringTransient voltage suppressorPower (physics)Control theory (sociology)Electrical engineeringChemistryBiochemistryOperating systemQuantum mechanicsPhysicsArtificial intelligenceControl (management)Computer visionGenePower Systems Fault DetectionElectrical Fault Detection and ProtectionSmart Grid Security and Resilience
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