Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Distribution Reliability and Automation01:25

Distribution Reliability and Automation

564
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...
564
Multimachine Stability01:25

Multimachine Stability

621
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
621
Network Function of a Circuit01:25

Network Function of a Circuit

989
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
989
The Power Flow Problem and Solution01:26

The Power Flow Problem and Solution

978
Power flow problem analysis is fundamental for determining real and reactive power flows in network components, such as transmission lines, transformers, and loads. The power system's single-line diagram provides data on the bus, transmission line, and transformer. Each bus k in the system is characterized by four key variables: voltage magnitude Vk​, phase angle δk​, real power Pk​, and reactive power Qk​. Two of these four variables are inputs, while the power flow program computes...
978
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

700
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
700

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A fully automated drilling machine for printed circuit boards with superior path optimization.

Scientific reports·2025
Same author

Treatment of Pasteurella multocida Cervical Epidural Abscess.

Cureus·2022
Same author

Changing Patterns of Hepatocellular Carcinoma after Treatment with Direct Antiviral Agents.

Gastrointestinal tumors·2020
Same author

Peritoneal dialysis for acute kidney injury.

Peritoneal dialysis international : journal of the International Society for Peritoneal Dialysis·2014
Same author

Outcome of acute kidney injury in Sudanese children - an experience from a sub-Saharan African unit.

Peritoneal dialysis international : journal of the International Society for Peritoneal Dialysis·2014
Same author

Analytical investigations of toxic p-phenylenediamine (PPD) levels in clinical urine samples with special focus on MALDI-MS/MS.

PloS one·2011

Related Experiment Video

Updated: Mar 21, 2026

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.6K

Performance analysis of network automation techniques for dense IP networks.

Mohammad M Abdellatif1, Osama Desouki2, Mohamed AbdelRaheem3

  • 1Electrical Engineering Department, The British University in Egypt, Cairo, 11837, Egypt. Mohammad.abdellatif@bue.edu.eg.

Scientific Reports
|March 20, 2026
PubMed
Summary

Network automation significantly reduces time in network deployment. Automated tools for topology creation, configuration generation, and testing offer substantial efficiency gains over manual methods.

More Related Videos

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

1.2K

Related Experiment Videos

Last Updated: Mar 21, 2026

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.6K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

1.2K

Area of Science:

  • Computer Science
  • Network Engineering

Background:

  • Network automation (NA) is a rapidly advancing field.
  • NA offers significant time and effort savings compared to traditional network management.

Purpose of the Study:

  • To evaluate automated tools for network topology creation.
  • To compare automated configuration generation with manual methods.
  • To assess the performance of network automation in testing.

Main Methods:

  • Evaluation of topology creation tools: EVE-NG, Pllama, Container LAB.
  • Comparison of configuration generation: Nokia Komodo, Python scripting, manual Excel.
  • Execution of test cases across CLASSIC-CLI, MD-CLI, and NETCONF.

Main Results:

  • Automated topology creation was 4.5 times faster than manual methods.
  • Automated configuration generation showed a 10% improvement over manual processes.
  • Automated test execution was 11 times faster than manual testing.

Conclusions:

  • Network automation substantially decreases deployment time across all evaluated stages.
  • The adoption of NA tools is crucial for enhancing network deployment efficiency.