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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

112
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
112
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

785
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...
785
Multimachine Stability01:25

Multimachine Stability

247
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:
247
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

348
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
348
Distributed Loads01:19

Distributed Loads

678
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...
678
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

320
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:
320

You might also read

Related Articles

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

Sort by
Same author

Hybrid deep learning and feature selection approach for autism detection from rs-fMRI data.

PloS one·2026
Same author

Aerial image segmentation using multilevel thresholding based on multi strategy Osprey optimization algorithm.

Scientific reports·2026
Same author

An AI approach to lunar phase detection: enhancing the identification of the new crescent with astronomical data integration.

Frontiers in artificial intelligence·2026
Same author

Enhancing particle swarm optimization based on optical computing mechanism: application to dyslexia detection.

Frontiers in artificial intelligence·2026
Same author

The multi-level image segmentation in dermatology application using an enhance Secretary Bird Optimization Algorithm.

Scientific reports·2025
Same author

Memetic Salp Swarm Algorithm for economic load dispatch problems.

Scientific reports·2025
Same journal

An intelligent decision support system to prevent and control of dengue.

Journal of ambient intelligence and humanized computing·2025
Same journal

Artificial intelligence and robotics on the frontlines of the pandemic response: the regulatory models for technology adoption and the development of resilient organisations in smart cities.

Journal of ambient intelligence and humanized computing·2023
Same journal

Delaunay triangulation based intelligent system for the diagnosis of covid from the low radiation CXR images.

Journal of ambient intelligence and humanized computing·2023
Same journal

Onsite/offsite social commerce adoption for SMEs using fuzzy linguistic decision making in complex framework.

Journal of ambient intelligence and humanized computing·2023
Same journal

Autonomous face mask detection using single shot multibox detector, and ResNet-50 with identity retrieval through face matching using deep siamese neural network.

Journal of ambient intelligence and humanized computing·2023
Same journal

Real-time updating of dynamic social networks for COVID-19 vaccination strategies.

Journal of ambient intelligence and humanized computing·2023
See all related articles

Related Experiment Video

Updated: Oct 3, 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

696

Economic load dispatch using memetic sine cosine algorithm.

Mohammed Azmi Al-Betar1,2, Mohammed A Awadallah3,4, Raed Abu Zitar5

  • 1Artificial Intelligence Research Center (AIRC), College of Engineering and Information Technology, Ajman University, Ajman, United Arab Emirates.

Journal of Ambient Intelligence and Humanized Computing
|February 14, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a hybrid Sine Cosine Algorithm (SCA) with a hill-climbing optimizer (HC) to solve the economic load dispatch (ELD) problem. The SCA-HC algorithm achieves superior performance in minimizing fuel costs for power generation systems.

Keywords:
Economic load dispatchHybrid metaheuristicsPower systemsSine cosine algorithm

More Related Videos

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
09:23

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

Published on: August 16, 2017

8.2K
Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

14.8K

Related Experiment Videos

Last Updated: Oct 3, 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

696
Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
09:23

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

Published on: August 16, 2017

8.2K
Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

14.8K

Area of Science:

  • Electrical Engineering
  • Optimization Techniques
  • Computational Intelligence

Background:

  • The economic load dispatch (ELD) problem is crucial for minimizing operational costs in power systems.
  • Existing optimization methods, like the Sine Cosine Algorithm (SCA), face challenges with non-linear constraints in ELD.
  • The exploitation capability of SCA needs enhancement for complex optimization tasks.

Purpose of the Study:

  • To develop a hybrid optimization algorithm for effectively solving the economic load dispatch problem.
  • To improve the exploitation efficiency of the Sine Cosine Algorithm (SCA) by integrating a local search operator.
  • To evaluate the performance of the proposed hybrid algorithm on various real-world power system test cases.

Main Methods:

  • A hybrid Sine Cosine Algorithm with a hill-climbing optimizer (SCA-HC) was developed.
  • The algorithm was applied to economic load dispatch problems with and without Ramp Rate Limits and Prohibited Operating Zones.
  • Sensitivity analysis was performed on the control parameters of the SCA-HC algorithm.

Main Results:

  • The SCA-HC algorithm demonstrated enhanced performance in solving the ELD problem, especially after parameter tuning.
  • Comparative evaluations showed that SCA-HC achieved new best results for certain test cases and competitive results for others.
  • The hybrid approach significantly improved the exploitation capability for non-linear constrained optimization.

Conclusions:

  • Hybridizing the hill-climbing optimizer with the Sine Cosine Algorithm creates a powerful tool for addressing economic load dispatch challenges.
  • The SCA-HC algorithm offers a robust and efficient solution for minimizing fuel costs in power generation.
  • The proposed method provides a valuable advancement in the field of computational intelligence for power system optimization.