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Related Concept Videos

Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

723
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.
723
Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

3.2K
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
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Maximum Power Transfer01:16

Maximum Power Transfer

1.1K
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...
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Power Factor Correction01:20

Power Factor Correction

706
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.
706
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

854
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:
854
The Power Flow Problem and Solution01:26

The Power Flow Problem and Solution

1.0K
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...
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Related Experiment Video

Updated: Apr 11, 2026

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

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An improved grey wolf optimization-based MPPT algorithm for photovoltaic systems under partial shading conditions.

Resat Celikel1, Omur Aydogmus1, Musa Yilmaz2,3

  • 1Department of Mechatronics Engineering, Firat University, 23200, Elazig, Turkey.

Scientific Reports
|April 9, 2026
PubMed
Summary

An improved Grey Wolf Optimization (IGWO) algorithm enhances maximum power point tracking (MPPT) in photovoltaic systems under partial shading. This novel approach significantly boosts energy extraction efficiency compared to existing methods.

Keywords:
Grey wolf optimizationMPPTPV systemPartial shading

Related Experiment Videos

Last Updated: Apr 11, 2026

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

11.3K

Area of Science:

  • Renewable Energy Systems
  • Electrical Engineering
  • Optimization Algorithms

Background:

  • Photovoltaic (PV) systems require Maximum Power Point Tracking (MPPT) for optimal energy extraction.
  • Conventional MPPT algorithms struggle under partial shading conditions (PSC) due to non-uniform solar irradiance.
  • Optimization-based approaches are gaining traction to address MPPT challenges in PSC.

Purpose of the Study:

  • To propose an Improved Grey Wolf Optimization (IGWO) algorithm for enhanced MPPT in PV systems.
  • To evaluate the performance of IGWO against other algorithms under various complex PSC scenarios.
  • To demonstrate the superior tracking efficiency and power extraction capabilities of IGWO.

Main Methods:

  • Development of a PV system model with four series-connected PV panels and a boost converter in MATLAB/Simulink.
  • Modification of the Grey Wolf Optimization (GWO) algorithm to create the proposed IGWO algorithm.
  • Testing and comparison of IGWO against GWO, Cuckoo Search Algorithm (CSA), and Flower Pollination Algorithm (FPA) under nine distinct PSC scenarios.

Main Results:

  • The proposed IGWO algorithm achieved the highest mean maximum power output across all tested PSC scenarios.
  • IGWO demonstrated superior MPPT performance compared to GWO, CSA, and FPA.
  • The mean tracking efficiency of the IGWO algorithm reached 98.34%.

Conclusions:

  • The IGWO algorithm offers a significant improvement in MPPT performance for PV systems under partial shading.
  • IGWO provides a robust and efficient solution for maximizing power extraction in challenging irradiance conditions.
  • This enhanced optimization technique holds promise for advancing the efficiency of solar energy harvesting.