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Related Concept Videos

Distribution Reliability and Automation01:25

Distribution Reliability and Automation

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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...
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Secondary Distribution01:25

Secondary Distribution

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Secondary distribution systems provide electrical energy at the utilization voltage levels from distribution transformers to customer meters. Typical secondary voltages in the United States include 120/240 V for residential use, 208Y/120 V for residential and commercial use, and 480Y/277 V for industrial and high-rise commercial use.
In residential areas, 120/240 V single-phase, three-wire service is commonly used for lighting, outlets, and large appliances. Urban areas with high-density loads...
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Power System Distribution01:25

Power System Distribution

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Power system distribution involves delivering electrical energy from power plants to consumers through a network of transmission and distribution systems. The process begins at power plants, where energy from coal, gas, nuclear, water, and wind is converted into electrical energy. These plants use three-phase generators, typically rated between 50 to 1300 MVA, with terminal voltages ranging from a few kV to 20 kV, depending on the size and age of the units.
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Uniform Distribution01:19

Uniform Distribution

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The uniform distribution is a continuous probability distribution of events with an equal probability of occurrence. This distribution is rectangular.
Two essential properties of this distribution are
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Primary Distribution01:28

Primary Distribution

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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.
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Lossy Lines and Overvoltages01:22

Lossy Lines and Overvoltages

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Transmission-line series resistance and shunt conductance cause three primary effects: attenuation, distortion, and power losses.
Attenuation
When constant series resistance and shunt conductance are present, voltage and current equations are modified. The propagation constant indicates that voltage and current waves consist of both forward and backward traveling components. These waves attenuate as they propagate, with the attenuation factor related to the resistance and conductance. In a...
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Related Experiment Video

Updated: Mar 29, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
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Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

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Uncertainty Effects on Smart Grid Services for Low-Voltage Distribution Networks.

Federico Carere1, Tommaso Bragatto2, Alberto Geri2

  • 1Department of Information Science and Technology, Telematic University Pegaso, 80132 Naples, Italy.

Sensors (Basel, Switzerland)
|March 28, 2026
PubMed
Summary

Widespread sensor deployment is crucial for effective smart grid operation. Increased monitoring coverage significantly improves voltage regulation and congestion management, ensuring reliable power distribution with renewable energy integration.

Keywords:
distributed energy resourcesgenetic algorithmsmeasurement uncertaintysensor penetrationsmart gridsvoltage regulation

Related Experiment Videos

Last Updated: Mar 29, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

1.1K

Area of Science:

  • Electrical Engineering
  • Power Systems
  • Smart Grids

Background:

  • Distribution system operators face challenges managing uncertainties from distributed renewable generation (DG) and demand response.
  • Active management strategies require robust monitoring infrastructure to ensure grid stability.

Purpose of the Study:

  • To investigate how sensor penetration and measurement accuracy impact voltage regulation and congestion management in distribution networks.
  • To evaluate the effectiveness of a smart grid service framework utilizing a genetic algorithm for optimizing flexibility resources.

Main Methods:

  • A smart grid service framework was developed using a genetic algorithm to optimize flexibility resources.
  • The framework was tested on the IEEE European Low Voltage Test Feeder under various monitoring scenarios.
  • Scenarios varied sensor penetration levels and measurement accuracy (accuracy classes 2% and 0.5%).

Main Results:

  • Increasing sensor penetration from 0% to 100% dramatically improved congestion management, reducing residual congestion cases from 46.2% to over 91.9% (with 2% accuracy sensors).
  • Full monitoring with 0.5% accuracy sensors further enhanced congestion management, achieving 97.9% effectiveness.
  • Voltage violations were completely eliminated under full monitoring conditions.

Conclusions:

  • Sensor penetration is the dominant factor influencing the effectiveness of voltage regulation and congestion management.
  • Widespread sensor deployment with appropriate measurement accuracy is fundamental for reliable and efficient smart grid operation.
  • The study highlights the necessity of advanced monitoring infrastructure for integrating renewable energy sources and demand response.