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

Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

164
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.
164
Power System Distribution01:25

Power System Distribution

298
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.
The transmission system is designed...
298
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

700
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
700
Distributed Loads01:19

Distributed Loads

583
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
583
Load-frequency control01:28

Load-frequency control

236
Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
236
Network Function of a Circuit01:25

Network Function of a Circuit

352
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.
352

You might also read

Related Articles

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

Sort by
Same author

Atrophy of specific amygdala subregion precedes the conversion from mild cognitive impairment with neuropsychiatric symptoms to dementia.

International psychogeriatrics·2026
Same author

Sweat and air permeable electronics enabled by engineered hierarchical fabric system for exercise management.

Microsystems & nanoengineering·2026
Same author

Enhanced independent discriminative performance of elevated lipoprotein(a) for cardiovascular outcomes in patients with diabetes: a comparative analysis of optimal cutoff values.

Frontiers in endocrinology·2026
Same author

Cardiovascular outcome trials (CVOTs) in cardiorenal metabolic medicine: a decade of transformative progress (2016-2026).

Cardiovascular diabetology·2026
Same author

Joint association of depression and physical activity with incident cardiometabolic multimorbidity (CMM) among middle-aged and older adults in China.

Scientific reports·2026
Same author

Wearable Tailored Passive Radiative Cooling Textile for Flexible Electronic Integration.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026

Related Experiment Video

Updated: Aug 26, 2025

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

640

Construction of Intelligent Substation-Optimized Networking Communication Network Based on Source-Network-Load

Yubin Lin1, Xiaofei Ruan1, Jiyu Li1

  • 1Department of Evaluation Center, Economic and Technological Research Institute of State Grid Fujian Electric Power Co. Ltd, Fuzhou 350000, Fujian, China.

Journal of Environmental and Public Health
|October 10, 2022
PubMed
Summary

Smart substations face challenges in communication and network performance. This study analyzes substation communication standards and process bus topologies, improving data flow modeling by 2.8%.

More Related Videos

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

585
Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
10:15

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

Published on: February 3, 2021

3.8K

Related Experiment Videos

Last Updated: Aug 26, 2025

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

640
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

585
Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
10:15

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

Published on: February 3, 2021

3.8K

Area of Science:

  • Electrical Engineering
  • Computer Networking
  • Power Systems

Background:

  • Smart grids are globally recognized for their benefits but face operational challenges in smart substations.
  • Issues include insufficient Local Area Network (LAN) integration, network performance quantification difficulties, and communication tracking limitations.

Purpose of the Study:

  • To analyze substation communication standards and process bus topologies.
  • To qualitatively assess substation data flow attributes (source, type, function).
  • To identify optimal topology solutions for substation process layers.

Main Methods:

  • Qualitative analysis of substation data flow attributes.
  • Comparative analysis of star, ring, bus, and mesh topologies for process bus networking.
  • Mathematical modeling for network performance evaluation.

Main Results:

  • A mathematical model demonstrating a 2.8% improvement in fitting effectiveness was developed.
  • Advantages and disadvantages of different network topologies (star, ring, bus, mesh) were identified in the context of substation requirements.
  • Crucial topology-related technologies for network congestion and flow control were discussed.

Conclusions:

  • Understanding data flow and topology is crucial for smart substation communication.
  • Topology selection significantly impacts network performance and reliability.
  • Further research into congestion and flow control is essential for robust smart substation networks.