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

The Power Flow Problem and Solution01:26

The Power Flow Problem and Solution

461
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...
461
Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

2.0K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
2.0K
Power Factor Correction01:20

Power Factor Correction

347
The power transmission to a factory involves the transfer of apparent power, a combination of active and reactive power. The power factor measures how effectively electrical power is converted into useful work output. The ratio of the real power (KW) that does the work to the apparent power (KVA) supplied to the circuit.
347
Calculation of Electric Flux01:25

Calculation of Electric Flux

2.6K
Consider the electric field of an oppositely charged, parallel-plate system and an imaginary box between those plates. Let the bottom face of the box be ABCD, and the top face be FGHK. The electric field between the plates is uniform and points from the positive plate toward the negative plate. The calculation of this field's flux through the box's various faces shows that the net flux through the box is zero. Why does the flux cancel out here?
2.6K
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

283
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.
283
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

423
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:
423

You might also read

Related Articles

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

Sort by
Same author

Computational network pharmacology and bioassays to unveil the antidiabetic mechanism of Mukia maderasapatana-mediated selenium nanoparticles.

Computational biology and chemistry·2026
Same author

Normative Values of Neck Extensor Endurance Test in Adults: An Observational Study.

Physiotherapy research international : the journal for researchers and clinicians in physical therapy·2026
Same author

Comparison of 90-90 ball and balloon exercise versus Kegel's exercise on pelvic floor muscle strength and quality of life among postpartum women with stress urinary incontinence-a randomized clinical trial protocol.

Trials·2025
Same author

HGOA-based framework for multi-objective optimization and performance prediction of PEM fuel cells.

Scientific reports·2025
Same author

Fungal derived chitosan nanoparticles fabricated from Aspergillus niger induces multi target molecular interaction on osteosarcoma (Saos-2 cells).

Biochemical and biophysical research communications·2025
Same author

Development of Kannada version, cross cultural adaptation, reliability and validity of Keele start back screening tool.

Journal of bodywork and movement therapies·2025

Related Experiment Video

Updated: Nov 18, 2025

Indoor Experimental Assessment of the Efficiency and Irradiance Spot of the Achromatic Doublet on Glass ADG Fresnel Lens for Concentrating Photovoltaics
09:00

Indoor Experimental Assessment of the Efficiency and Irradiance Spot of the Achromatic Doublet on Glass ADG Fresnel Lens for Concentrating Photovoltaics

Published on: October 27, 2017

9.1K

Enhanced chaotic JAYA algorithm for parameter estimation of photovoltaic cell/modules.

M Premkumar1, Pradeep Jangir2, R Sowmya3

  • 1Department of Electrical and Electronics Engineering, GMR Institute of Technology, Rajam, Andhra Pradesh 532127, India.

ISA Transactions
|February 8, 2021
PubMed
Summary

This study introduces an enhanced chaotic JAYA algorithm for accurate photovoltaic (PV) model parameter estimation. The novel algorithm improves optimization by incorporating self-adaptive weights and chaotic maps for reliable PV system analysis.

Keywords:
ChaoticDouble-diode model (DDM)Parameters identificationPhotovoltaicsSelf-adaptive weightSingle-diode model (SDM)

More Related Videos

Integrating a Triplet-triplet Annihilation Up-conversion System to Enhance Dye-sensitized Solar Cell Response to Sub-bandgap Light
11:26

Integrating a Triplet-triplet Annihilation Up-conversion System to Enhance Dye-sensitized Solar Cell Response to Sub-bandgap Light

Published on: September 12, 2014

12.9K
In Situ Monitoring of the Accelerated Performance Degradation of Solar Cells and Modules: A Case Study for CuIn,GaSe2 Solar Cells
09:19

In Situ Monitoring of the Accelerated Performance Degradation of Solar Cells and Modules: A Case Study for CuIn,GaSe2 Solar Cells

Published on: October 3, 2018

8.6K

Related Experiment Videos

Last Updated: Nov 18, 2025

Indoor Experimental Assessment of the Efficiency and Irradiance Spot of the Achromatic Doublet on Glass ADG Fresnel Lens for Concentrating Photovoltaics
09:00

Indoor Experimental Assessment of the Efficiency and Irradiance Spot of the Achromatic Doublet on Glass ADG Fresnel Lens for Concentrating Photovoltaics

Published on: October 27, 2017

9.1K
Integrating a Triplet-triplet Annihilation Up-conversion System to Enhance Dye-sensitized Solar Cell Response to Sub-bandgap Light
11:26

Integrating a Triplet-triplet Annihilation Up-conversion System to Enhance Dye-sensitized Solar Cell Response to Sub-bandgap Light

Published on: September 12, 2014

12.9K
In Situ Monitoring of the Accelerated Performance Degradation of Solar Cells and Modules: A Case Study for CuIn,GaSe2 Solar Cells
09:19

In Situ Monitoring of the Accelerated Performance Degradation of Solar Cells and Modules: A Case Study for CuIn,GaSe2 Solar Cells

Published on: October 3, 2018

8.6K

Area of Science:

  • Electrical Engineering
  • Renewable Energy Systems
  • Computational Intelligence

Background:

  • Accurate parameterization of photovoltaic (PV) models is crucial for effective simulation, control, and performance evaluation of PV systems.
  • Existing methods for PV model parameter estimation face challenges in achieving both accuracy and reliability across diverse operating conditions.

Purpose of the Study:

  • To propose and validate an enhanced chaotic JAYA algorithm for precise parameter estimation of single-diode and double-diode photovoltaic models.
  • To improve the convergence speed and solution quality of optimization algorithms for PV parameter identification.

Main Methods:

  • Development of an enhanced chaotic JAYA algorithm featuring a self-adaptive weight mechanism to balance exploration and exploitation.
  • Integration of three distinct chaotic maps (sine, logistic, tent) to optimize solution consistency across generations.
  • Parameter estimation for various PV models using the proposed algorithm and its variants, validated through extensive MATLAB/Simulink simulations.

Main Results:

  • The enhanced chaotic JAYA algorithm demonstrated highly competitive accuracy and reliability in PV model parameter estimation.
  • Statistical tests confirmed the superior performance of the proposed algorithm compared to state-of-the-art techniques.
  • The self-adaptive weight and chaotic processes enhanced the algorithm's ability to find optimal solutions efficiently.

Conclusions:

  • The proposed enhanced chaotic JAYA algorithm offers a robust and efficient solution for photovoltaic model parameter identification.
  • This research provides a reliable computational tool for advancing the design and operation of photovoltaic systems.
  • Source code and guidance are available online to support further research and application.