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

Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

847
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:
847
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.2K
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...
1.2K
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

1.3K
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of the...
1.3K
Transformers in Distribution System01:27

Transformers in Distribution System

620
Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
620
The Power Flow Problem and Solution01:26

The Power Flow Problem and Solution

984
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...
984
Distributed Loads01:19

Distributed Loads

1.1K
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...
1.1K

You might also read

Related Articles

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

Sort by
Same author

Association between preoperative anemia and postoperative delirium in elderly patients undergoing total hip arthroplasty with combined spinal-epidural anesthesia: A retrospective cohort study.

Journal of anesthesia and translational medicine·2026
Same author

Postoperative Delerium Associated with Autologous vs Allogeneic Blood Transfusion in Elderly Hip Arthroplasty Patients Undergoing Combined Spinal-Epidural Anesthesia: A Single-Center Retrospective Study.

Medical science monitor : international medical journal of experimental and clinical research·2026
Same author

Association between intraoperative blood transfusion and postoperative delirium in elderly patients undergoing total hip arthroplasty with combined spinal-epidural anesthesia: an IPTW-adjusted retrospective cohort study.

BMC anesthesiology·2025
Same author

Deficiency of cold-inducible RNA-binding protein exacerbated monocrotaline-induced pulmonary artery hypertension through Caveolin1 and CAVIN1.

Journal of cellular and molecular medicine·2021
Same author

Characterization of circRNA‑associated ceRNA networks in patients with nonvalvular persistent atrial fibrillation.

Molecular medicine reports·2018
Same author

Effect of simultaneous surgical treatment of severe coronary artery disease and lung cancer.

The Journal of international medical research·2018
Same journal

RETRACTION: Real-Time Modulation of Physical Training Intensity Based on Wavelet Recursive Fuzzy Neural Networks.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Multidimensional Heterogeneous Network Link Adaptation Based on Mobile Environment.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Framework to Segment and Evaluate Multiple Sclerosis Lesion in MRI Slices Using VGG-UNet.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Facial Emotion Recognition Using a Novel Fusion of Convolutional Neural Network and Local Binary Pattern in Crime Investigation.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Automatic Intelligent System Using Medical of Things for Multiple Sclerosis Detection.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Intangible Cultural Heritage Reproduction and Revitalization: Value Feedback, Practice, and Exploration Based on the IPA Model.

Computational intelligence and neuroscience·2026
See all related articles

Related Experiment Video

Updated: Apr 1, 2026

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

Improved Quantum Artificial Fish Algorithm Application to Distributed Network Considering Distributed Generation.

Tingsong Du1, Yang Hu2, Xianting Ke2

  • 1Department of Mathematics, Science College, China Three Gorges University, Yichang 443002, China ; Hubei Province Key Laboratory of System Science in Metallurgical Process, Wuhan University of Science and Technology, Wuhan 430081, China.

Computational Intelligence and Neuroscience
|October 9, 2015
PubMed
Summary
This summary is machine-generated.

An improved quantum artificial fish swarm algorithm (IQAFSA) enhances distributed network programming. This novel approach offers faster convergence and better accuracy for optimizing power loss in electrical grids.

Related Experiment Videos

Last Updated: Apr 1, 2026

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:

  • * Computational Intelligence
  • * Quantum Computing
  • * Electrical Engineering

Background:

  • * Distributed network programming presents complex optimization challenges.
  • * Existing artificial fish swarm algorithms (AFSA) can be limited by local optima and convergence speed.
  • * Integrating quantum computing principles offers potential for enhanced heuristic algorithms.

Purpose of the Study:

  • * To propose an improved quantum artificial fish swarm algorithm (IQAFSA) for distributed network programming.
  • * To enhance the optimization capabilities for problems considering distributed generation.
  • * To evaluate IQAFSA's performance against other AFSA variants and its effectiveness in minimizing power loss.

Main Methods:

  • * Development of IQAFSA utilizing quantum bits for artificial fish representation and quantum operations for updating behaviors (preying, following, variation).
  • * Comparative simulation experiments on typical test functions using IQAFSA, QAFSA, BAFSA, and GAFSA.
  • * Application and simulation of IQAFSA on a 33-bus radial distribution network system to assess power loss minimization.

Main Results:

  • * IQAFSA demonstrated superior performance in escaping local extrema compared to BAFSA, GAFSA, and QAFSA.
  • * The proposed algorithm exhibited higher convergence speed and improved accuracy in test function simulations.
  • * IQAFSA achieved the minimum power loss in the 33-bus radial distribution network system simulation.

Conclusions:

  • * IQAFSA is an effective optimization technique for distributed network programming, particularly with distributed generation.
  • * The quantum-enhanced approach significantly improves upon traditional AFSA methods.
  • * IQAFSA provides a robust solution for minimizing power loss in electrical distribution networks.