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Related Concept Videos

Fault Types01:18

Fault Types

84
When analyzing a single line-to-ground fault from phase A to ground at a three-phase bus, it is important to consider the fault impedance. This impedance is zero for a bolted fault, equal to the arc impedance for an arcing fault, and represents the total fault impedance for a transmission-line insulator flashover. To derive sequence and phase currents, fault conditions are translated from the phase domain to the sequence domain.
For line-to-line faults occurring between phases B and C, the...
84
Power System Three-Phase Short Circuits01:21

Power System Three-Phase Short Circuits

83
Determining the subtransient fault current in a power system involves representing transformers by their leakage reactances, transmission lines by their equivalent series reactances, and synchronous machines as constant voltage sources behind their subtransient reactances. In this analysis, certain elements are excluded, such as winding resistances, series resistances, shunt admittances, delta-Y phase shifts, armature resistance, saturation, saliency, non-rotating impedance loads, and small...
83
Three-Phase Short Circuit—Unloaded Synchronous Machine01:21

Three-Phase Short Circuit—Unloaded Synchronous Machine

139
Conducting a three-phase short circuit test on an unloaded synchronous machine helps understand its impact on the system. The AC fault current's oscillogram, with the DC offset removed, reveals that the waveform amplitude decreases from an initially high value to a steady-state level for one phase of the machine.
This behavior occurs due to the magnetic flux produced by the short-circuit armature currents. Initially, these currents follow high-reluctance paths but eventually shift to...
139
Bus Impedance Matrix01:24

Bus Impedance Matrix

118
Calculating subtransient fault currents for three-phase faults in an N-bus power system involves using the positive-sequence network. When a three-phase short circuit occurs at a specific bus, the analysis uses the superposition method to evaluate two separate circuits.
In the first circuit, all machine voltage sources are short-circuited, leaving only the prefault voltage source at the fault location. The positive-sequence bus impedance matrix can be determined by solving the nodal equations,...
118
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

107
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
107
Primary Distribution01:28

Primary Distribution

102
Primary distribution systems deliver electrical power from substations to consumers through various voltage classes, with 15-kV class voltages being predominant among U.S. utilities. Older 2.5- and 5-kV classes are being replaced by 15-kV primaries, while higher 25- to 34.5-kV classes are used in high-density urban areas and rural regions with long feeders. Three-phase, four-wire multigrounded systems are widely employed for balanced power delivery, using the neutral wire as a grounding point.
102

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Current spectral norm and phase variation based fault region identification for active distribution network.

Jie Chen1, Yong Li2, Rong Zeng3

  • 1College of Electrical and Information Engineering, Hunan University, Changsha, 410082, China.

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|June 2, 2024
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Summary

This study introduces a robust fault region identification method for active distribution networks (ADNs) using limited Phasor Measurement Units (PMUs). The approach accurately locates faults despite communication synchronization issues and varying conditions.

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Area of Science:

  • Electrical Engineering
  • Power Systems Analysis

Background:

  • Active Distribution Networks (ADNs) require reliable fault detection for operational stability.
  • Limited Phasor Measurement Unit (PMU) deployment poses challenges for precise fault localization.

Purpose of the Study:

  • To develop an effective fault region identification method for ADNs with constrained PMU resources.
  • To enhance the robustness and accuracy of fault identification under diverse operating conditions.

Main Methods:

  • Proposed PMU configuration and region division strategies based on network topology.
  • Developed a multi-dimensional state monitoring matrix using current variations and spectral norm ratio coefficient.
  • Utilized current phase changes and spectral norm ratio coefficient for fault region identification.

Main Results:

  • The method accurately identifies fault regions in an IEEE 33-node simulation model.
  • The approach demonstrates minimal impact from fault type, grounding mode, and transition resistance.
  • High robustness was observed even with non-rigorous communication synchronization requirements.

Conclusions:

  • The proposed method offers a reliable and robust solution for fault region identification in ADNs with limited PMUs.
  • This technique enhances the operational security and efficiency of active distribution networks.
  • The method's resilience to communication imperfections makes it practical for real-world applications.