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

191
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:
191
The Power Flow Problem and Solution01:26

The Power Flow Problem and Solution

212
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...
212
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

107
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.
107
Control of Power Flow01:30

Control of Power Flow

266
There are several methods to control power flow in power systems:
266
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

645
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...
645
Load-frequency control01:28

Load-frequency control

162
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...
162

You might also read

Related Articles

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

Sort by
Same author

Trends and disparities in HIV before and after COVID-19 from 1999 to 2023.

Annals of medicine and surgery (2012)·2026
Same author

Impact of Ventilator-Associated Pneumonia on Clinical Outcomes in a Pediatric Intensive Care Unit: A Retrospective Cohort Study From Lahore, Pakistan.

Cureus·2026
Same author

Edge-intelligent safelink-V2X: A low-latency cooperative framework for real-time vulnerable road user protection.

PloS one·2026
Same author

Socioeconomic Factors Impacting Survival in Patients with Hepatocellular Carcinoma Treated with Locoregional Therapies: A Single-Center Study.

Journal of vascular and interventional radiology : JVIR·2026
Same author

Corrigendum to "A comprehensive study on mechanisms of action of fibroin, aloe vera, and ginger extracts through histochemical, inflammation biomarkers, and matrix metalloproteinases analysis against diabetic wounds" [J Tissue Viability 33 (2024) 949-959].

Journal of tissue viability·2026
Same author

Profound Iron Deficiency Anemia Associated With Endoscopically Visualized Nematode Infestation Mimicking Gastric Malignancy: A Case Report From Trinidad and Tobago.

Cureus·2026

Related Experiment Video

Updated: Jun 30, 2025

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

344

A novel solution to optimal power flow problems using composite differential evolution integrating effective

Aamir Ali1, Ali Hassan1, M U Keerio1

  • 1Department of Electrical Engineering, Quaid-e-Awam University of Engineering Science and Technology, Nawabshah, Sindh, 67450, Pakistan.

Scientific Reports
|March 15, 2024
PubMed
Summary

This study introduces a novel constrained composite differential evolution algorithm for solving complex optimal power flow problems. The new method efficiently handles constraints, improving power system operation and reducing costs.

Keywords:
Constrained composite differential evolutionConstraint handling techniquesFeasibility ruleOptimal power flowPower loss and emissionε Constrained method

More Related Videos

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

3.1K
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.0K

Related Experiment Videos

Last Updated: Jun 30, 2025

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

344
A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

3.1K
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.0K

Area of Science:

  • Electrical Engineering
  • Computational Intelligence
  • Optimization Theory

Background:

  • Optimal Power Flow (OPF) is a critical, non-linear problem for efficient and economical power system operation.
  • Solving constrained OPF problems is challenging for operators, especially with added network complexities.
  • Existing evolutionary algorithms often struggle with constraint handling, requiring complex penalty functions.

Purpose of the Study:

  • To present a novel constrained composite differential evolution (DE) algorithm for solving OPF problems.
  • To improve the efficiency and effectiveness of handling constraints in OPF.
  • To provide a robust optimization tool for power system operators.

Main Methods:

  • A constrained composite DE algorithm is proposed, integrating feasibility rules and the epsilon-constraint method.
  • The algorithm is designed to effectively search within the feasible solution space.
  • Evaluations were performed on IEEE 30, 57, and 118-bus standard test systems.

Main Results:

  • The proposed algorithm demonstrated superior performance in solving single and multi-objective OPF problems.
  • Simulation results were compared against recently published OPF techniques.
  • The method effectively handled various study cases, showcasing its robustness.

Conclusions:

  • The constrained composite DE algorithm offers a powerful and efficient solution for complex OPF problems.
  • The integration of advanced constraint-handling techniques enhances optimization performance.
  • The proposed method is a valuable tool for improving power system efficiency and economy.