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

P-N junction01:11

P-N junction

524
A p-n junction is formed when p-type and n-type semiconductor materials are joined together. At the interface of the p-n junction, holes from the p-side and electrons from the n-side begin to diffuse into the opposite sides due to the concentration gradient. This diffusion of carriers leads to a region around the junction where there are no free charge carriers, known as the depletion region. The charge density within the depletion region for the n-side and p-side can be described by the...
524
Maximum Power Transfer01:16

Maximum Power Transfer

255
Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...
255
Control of Power Flow01:30

Control of Power Flow

266
There are several methods to control power flow in power systems:
266
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

You might also read

Related Articles

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

Sort by
Same author

Clazosentan in aneurysmal subarachnoid hemorrhage: an updated systematic review and meta-analysis of efficacy and safety.

BMC neurology·2026
Same author

Targeting IL-31RA with nemolizumab in prurigo nodularis: a systematic review, GRADE-assessed meta-analysis, and trial sequential analysis of randomized controlled trials.

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

Paraconduit hernia after minimally invasive esophagectomy.

Journal of visualized surgery·2026
Same author

Mechanistic insights into profenofos interactions with antioxidant enzymes in Labeo rohita.

Aquatic toxicology (Amsterdam, Netherlands)·2026
Same author

Minimally invasive total thoracoscopic fixation versus open fixation for multiple Rib fractures: Systematic review and meta-analysis of clinical outcomes.

Injury·2026
Same author

Frequency of Hyponatremia in Patients With Chronic Liver Disease Presenting to the Outpatient Department: A Cross-Sectional Study.

Cureus·2026

Related Experiment Video

Updated: Jun 28, 2025

Fabrication of High Contrast Gratings for the Spectrum Splitting Dispersive Element in a Concentrated Photovoltaic System
12:08

Fabrication of High Contrast Gratings for the Spectrum Splitting Dispersive Element in a Concentrated Photovoltaic System

Published on: July 18, 2015

10.7K

Maximizing solar power generation through conventional and digital MPPT techniques: a comparative analysis.

Shahjahan Alias Sarang1, Muhammad Amir Raza1, Madeeha Panhwar1

  • 1Department of Electrical Engineering, Mehran University of Engineering and Technology, SZAB Campus Khairpur Mir's, Sindh, 66020, Pakistan.

Scientific Reports
|April 18, 2024
PubMed
Summary

This study compares ten photovoltaic (PV) maximum power point tracking (MPPT) controllers, evaluating conventional and artificial intelligence (AI) methods. The P&O-PSO controller achieved the highest accuracy (99.6%), offering insights for solar energy system optimization.

Keywords:
Artificial intelligence MPPTsConventional MPPTsSolar energySustainability

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

12.6K
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

8.9K

Related Experiment Videos

Last Updated: Jun 28, 2025

Fabrication of High Contrast Gratings for the Spectrum Splitting Dispersive Element in a Concentrated Photovoltaic System
12:08

Fabrication of High Contrast Gratings for the Spectrum Splitting Dispersive Element in a Concentrated Photovoltaic System

Published on: July 18, 2015

10.7K
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

12.6K
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

8.9K

Area of Science:

  • Renewable Energy Systems
  • Electrical Engineering
  • Artificial Intelligence

Background:

  • Growing concerns about climate change and carbon emissions drive the adoption of renewable energy, particularly photovoltaic (PV) systems.
  • Effective power tracking in PV systems is crucial for maximizing energy extraction under varying conditions.
  • Maximum Power Point Tracking (MPPT) controllers are essential components for optimizing PV system performance.

Purpose of the Study:

  • To conduct a comprehensive comparative analysis of ten different MPPT controllers, including conventional and AI-based approaches.
  • To evaluate controller performance based on key parameters such as accuracy, response time, stability, and performance under partial shading.
  • To identify and recommend the most effective MPPT controller for solar power extraction.

Main Methods:

  • A comparative study was performed on ten MPPT controllers: conventional (INC, P&O) and AI-based (Fuzzy-PSO, ANN, ANFIS, ANN-PSO, PSO, FLC).
  • Controllers were assessed based on voltage, current, power, weather dependence, cost, complexity, response time, tuning, stability, partial shading, and accuracy.
  • Performance metrics, particularly accuracy, were recorded for each controller under various operating conditions.

Main Results:

  • Conventional controllers achieved accuracies ranging from 94.3% (INC) to 99.6% (P&O-PSO).
  • AI-based controllers demonstrated accuracies between 98% (ANN, FLC) and 98.8% (ANN-PSO).
  • The P&O-PSO conventional controller exhibited the highest accuracy at 99.6%.

Conclusions:

  • The study provides valuable insights into the performance of various MPPT controllers, aiding in the selection of optimal solutions for solar energy systems.
  • AI-based controllers show competitive performance, but conventional techniques like P&O-PSO remain highly effective, especially in terms of accuracy.
  • Informed decisions regarding MPPT controller implementation can be made by the solar industry based on this comparative analysis.