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Related Concept Videos

Fault Types01:18

Fault Types

108
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...
108
Bus Impedance Matrix01:24

Bus Impedance Matrix

149
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,...
149
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

239
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
239
Series R—L Circuit Transients01:22

Series R—L Circuit Transients

126
In a series resistor-inductor (R-L) circuit, closing the switch at the start of the time period simulates a three-phase short circuit, a fault condition where all three phases of an unloaded synchronous machine are short-circuited. When there is no fault impedance and no initial current, the initial voltage is determined by the phase angle of the source voltage.
Using Kirchhoff's Voltage Law (KVL) to analyze this circuit helps determine the total asymmetrical fault current, which consists...
126
Power System Three-Phase Short Circuits01:21

Power System Three-Phase Short Circuits

114
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...
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Electrostatic Boundary Conditions in Dielectrics01:27

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When an electric field passes from one homogeneous medium to another, crossing the boundary between the two mediums imparts a discontinuity in the electric field. This results in electrostatic boundary conditions that depend on the type of mediums the field propagates through.
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Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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Group Method of Data Handling Using Christiano-Fitzgerald Random Walk Filter for Insulator Fault Prediction.

Stefano Frizzo Stefenon1,2, Laio Oriel Seman3, Nemesio Fava Sopelsa Neto4

  • 1Digital Industry Center, Fondazione Bruno Kessler, 38123 Trento, Italy.

Sensors (Basel, Switzerland)
|July 14, 2023
PubMed
Summary
This summary is machine-generated.

A new hybrid method using Christiano-Fitzgerald random walk (CFRW) and group data-handling (GMDH) accurately predicts faults in power grid insulators by analyzing leakage current. This approach enhances power supply reliability through early failure detection.

Keywords:
Christiano–Fitzgerald random walk filterelectrical power gridsgroup method of data handlingleakage currenttime series forecasting

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Area of Science:

  • Electrical Engineering
  • Materials Science
  • Data Science

Background:

  • Disruptive failures in power supply systems are often preceded by increased leakage current in distribution insulators.
  • Monitoring insulator health is crucial for maintaining the reliability of electrical power distribution networks.

Purpose of the Study:

  • To develop and evaluate a novel hybrid method for predicting faults in contaminated power grid insulators using leakage current time series data.
  • To assess the effectiveness of the Christiano-Fitzgerald random walk (CFRW) filter and group data-handling (GMDH) method for fault prediction.

Main Methods:

  • A hybrid fault prediction method combining the Christiano-Fitzgerald random walk (CFRW) filter for trend decomposition and the group data-handling (GMDH) method for time series prediction was developed.
  • 15 kV-class insulators were subjected to controlled contamination in a high-voltage laboratory simulation, with leakage current recorded over 28 hours until flashover.
  • The CFRW filter's performance in reducing non-linearities was compared to seasonal decomposition using moving averages.

Main Results:

  • The CFRW filter demonstrated superior performance in reducing non-linearities compared to seasonal decomposition using moving averages.
  • The proposed CFRW-GMDH hybrid method achieved a root-mean-squared error of 3.44×10-12 for fault prediction.
  • The CFRW-GMDH method outperformed standard GMDH and long short-term memory (LSTM) models in predicting insulator faults.

Conclusions:

  • The CFRW-GMDH hybrid method is a highly effective and promising tool for predicting faults in power grid insulators based on leakage current data.
  • This approach offers a reliable method for power utilities to monitor insulator health and predict failures, thereby improving power supply reliability.