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

Maximum Power Transfer01:16

Maximum Power Transfer

195
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...
195
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

91
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.
91
Power Factor Correction01:20

Power Factor Correction

148
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.
148
P-N junction01:11

P-N junction

432
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...
432
Power Factor01:11

Power Factor

356
The power factor is defined as the ratio of average (or active) power to apparent power, as illustrated by the relation
356
The Maximum Power Transfer Theorem01:20

The Maximum Power Transfer Theorem

515
Consider a linear AC Thevenin equivalent circuit connected to a load impedance.
The load connected draws the current, and the circuit delivers the power to the load. The alternating current flowing through the load is determined using the rectangular form of voltages, currents, network impedance, and load impedance. The average power delivered to the load is obtained from the product of the square of current and load resistance.
515

You might also read

Related Articles

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

Sort by
Same author

A method for forensic-ready intrusion detection using explainable learning, prediction-aware graph modeling, and counterfactual analysis.

MethodsX·2026
Same author

Multimodal Fusion of Endoscopic and Histopathological Images for Lesion Detection Using Hybrid Deep Learning.

Current medical imaging·2026
Same author

RETRACTED: Srivastava et al. Match-Level Fusion of Finger-Knuckle Print and Iris for Human Identity Validation Using Neuro-Fuzzy Classifier. <i>Sensors</i> 2022, <i>22</i>, 3620.

Sensors (Basel, Switzerland)·2026
Same author

Deep learning-based region merging with adaptive threshold optimization for building segmentation in remote sensing images.

PloS one·2026
Same author

Stacking Deep Neural Networks to Detect Multiple Types of Cardiac Arrhythmias.

IEEE journal of biomedical and health informatics·2026
Same author

Honey yield prediction and neonicotinoid risk assessment utilizing a machine learning framework in smart agriculture.

Scientific reports·2026

Related Experiment Video

Updated: May 20, 2025

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

8.3K

Performance validation of global MPPT for efficient power extraction through PV system under complex partial shading

Muhammad Abu Bakar Siddique1, Dongya Zhao2, Khmaies Ouahada3

  • 1College of New Energy, China University of Petroleum (East China), Qingdao, 266580, China.

Scientific Reports
|May 16, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces an adapted perturb and observe based model predictive control (APO-MPC) for photovoltaic maximum power point tracking. The APO-MPC algorithm effectively tracks the global maximum power point (GMPP) under complex partial shading conditions (CPSCs).

Keywords:
Energy conversionMaximum power point tracking (MPPT)Optimal controlRenewable energy

More Related Videos

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

8.8K
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

Related Experiment Videos

Last Updated: May 20, 2025

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

8.3K
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

8.8K
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

Area of Science:

  • Renewable Energy Systems
  • Electrical Engineering
  • Control Systems

Background:

  • Photovoltaic (PV) energy is crucial for sustainable development.
  • Conventional maximum power point tracking (MPPT) algorithms struggle with partial shading, leading to power loss.
  • Existing methods often get trapped in local maximum power points (LMPPs) under non-uniform irradiance.

Purpose of the Study:

  • To develop and evaluate an advanced MPPT algorithm for enhanced PV energy extraction.
  • To address the limitations of conventional MPPT algorithms under partial shading conditions.
  • To ensure stable and efficient tracking of the global maximum power point (GMPP) under complex scenarios.

Main Methods:

  • Development of an adapted perturb and observe based model predictive control (APO-MPC) algorithm.
  • Simulation in MATLAB/Simulink, including six series-connected PV modules and a boost converter.
  • Comparative analysis with other MPPT algorithms under uniform, simple partial, and complex partial shading conditions (UIC, SPSCs, CPSCs).
  • Validation using real-time hardware implementation and seasonal field data.

Main Results:

  • The APO-MPC algorithm demonstrated superior performance compared to other MPPT methods.
  • Achieved no oscillations during GMPP tracking.
  • Exhibited an average convergence time of 0.17 seconds.
  • Attained a high tracking efficiency of 99.46% under complex partial shading conditions.

Conclusions:

  • The APO-MPC approach provides fast, accurate, and stable GMPP tracking.
  • It effectively avoids entrapment in LMPPs even under complex partial shading conditions.
  • This advanced MPPT strategy significantly improves PV energy yield and system reliability.