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

Nodal Analysis with Voltage Sources01:11

Nodal Analysis with Voltage Sources

2.1K
Nodal analysis is a remarkably effective method used in electrical engineering to simplify the analysis of complex circuits, including those with dependent or independent voltage sources. Its strength lies in its systematic approach to breaking down circuits into manageable components, making it easier for engineers to understand and solve.
Consider a circuit that contains four resistors and two voltage sources, as shown in Figure 1. One of these voltage sources is connected between a...
2.1K
Multimachine Stability01:25

Multimachine Stability

602
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:
602
Harmonic Mean01:09

Harmonic Mean

3.9K
The arithmetic mean is usually skewed towards the larger values in the data set. Therefore, to avoid this inherent bias towards smaller values, the harmonic mean is used.
Take the example of the speed of a car, which is the measure of the rate of distance traveled. If the vehicle traverses the same distance back-and-forth, its average speed equals the total distance traveled divided by the total time taken. However, if the car moves with varying speeds, then the arithmetic mean is more skewed...
3.9K
Superposition Theorem for AC Circuits01:13

Superposition Theorem for AC Circuits

1.9K
Consider encountering a circuit in a steady state where all its inputs are sinusoidal, yet they do not all possess the same frequency. Such a circuit is not classified as an alternating current (AC) circuit, and consequently, its currents and voltages will not exhibit sinusoidal behavior. However, this circuit can be analyzed using the principle of superposition.
The principle of superposition stipulates that the output of a linear circuit with several concurrent inputs is equivalent to the...
1.9K
Vector Algebra: Method of Components01:08

Vector Algebra: Method of Components

20.4K
It is cumbersome to find the magnitudes of vectors using the parallelogram rule or using the graphical method to perform mathematical operations like addition, subtraction, and multiplication. There are two ways to circumvent this algebraic complexity. One way is to draw the vectors to scale, as in navigation, and read approximate vector lengths and angles (directions) from the graphs. The other way is to use the method of components.
In many applications, the magnitudes and directions of...
20.4K
Nodal Analysis01:10

Nodal Analysis

2.1K
Nodal analysis is a fundamental method in electrical engineering used to simplify the process of circuit analysis. This method revolves around the concept of using node voltages as the primary variables for circuit analysis. The objective is to determine the voltage at each node in a circuit, which can then be used to find other quantities of interest, such as currents through specific components.
Consider, for instance, a simple circuit composed of three nodes and three resistors, as shown in...
2.1K

You might also read

Related Articles

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

Sort by
Same author

Harnessing interfacial click polymerization using pyridinium-yne films as photochromic, radical generation and sensing platforms.

Nature communications·2026
Same author

Expression of PIEZO1 in lung adenocarcinoma correlates with PD-L1 expression, cell migration, and poor prognosis: an exploratory study.

Discover oncology·2026
Same author

Functional Capacity and Gut Microbiota Shifts in Heart Failure Patients Following Cardiac Rehabilitation.

Journal of clinical medicine·2026
Same author

Establishment and Characterization of a Long-Term Ovarian Cell Line (SBO) from Asian Seabass (<i>Lates calcarifer</i>) Expressing Germline Stem Cell Markers.

International journal of molecular sciences·2026
Same author

GLEAM: A Multimodal Imaging Dataset and HAMM for Glaucoma Classification.

IEEE transactions on medical imaging·2026
Same author

Recent progress in small-molecule targeted therapies for melanoma treatment.

Bioorganic & medicinal chemistry·2026

Related Experiment Video

Updated: Mar 13, 2026

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.7K

Multi-source harmonic estimation method for distribution networks based on variational modal decomposition.

Hongjian Zuo1, Hongyan Xu1, Zekun Wang1

  • 1State Grid Changchun Power Supply Company, Changchun, Jilin, China.

Plos One
|March 11, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for estimating harmonics in low-voltage distribution networks using variational mode decomposition. It enables long-term harmonic monitoring by integrating power data and generating essential data.

More Related Videos

Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

22.0K
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

Related Experiment Videos

Last Updated: Mar 13, 2026

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.7K
Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

22.0K
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 Analysis

Background:

  • Harmonic monitoring on the low-voltage side of distribution networks faces significant limitations.
  • Accurate and long-term harmonic data are crucial for grid stability and management.

Purpose of the Study:

  • To propose a novel multi-source harmonic estimation method for low-voltage distribution networks.
  • To enable the migration and generation of long-term low-voltage side harmonic monitoring data.

Main Methods:

  • Utilizes variational mode decomposition (VMD) integrated with short-term and long-term power data.
  • Employs Fisher optimal segmentation and derivative dynamic time warping for dominant harmonic user identification.
  • Transforms electrical data using VMD and Gramian angular fields into pseudo-color and grayscale images.
  • Applies an improved PSRGAN (pix2pix-super-resolution generative adversarial network) model for data mapping and generation.

Main Results:

  • Successfully establishes a mapping relationship between power data and low-voltage side harmonic data.
  • Demonstrates accurate and effective harmonic estimation in multi-source scenarios through simulations and field measurements.
  • Validates the generation of long-term harmonic monitoring data.

Conclusions:

  • The proposed multi-source harmonic estimation method effectively addresses limitations in low-voltage harmonic monitoring.
  • The method shows strong potential for practical engineering applications due to easily accessible data and validated accuracy.