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Related Concept Videos

Modeling of Diode Reverse Characteristics01:14

Modeling of Diode Reverse Characteristics

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In electronic circuits, reverse-biased diode configurations are critical for regulating voltage levels. Zener diodes exploit the reverse breakdown phenomenon and exhibit a controlled breakdown at a specific Zener voltage (VZ). They are designed to maintain a constant voltage across their terminals and are commonly used for voltage regulation in circuits.
When a reverse voltage applied to a Zener diode exceeds its breakdown voltage, the diode enters the breakdown region. At this point, the...
228
Modeling of Diode Forward Characteristics01:19

Modeling of Diode Forward Characteristics

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Understanding the behavior of diodes when forward-biased is a fundamental aspect of electronic circuit design and analysis. This analysis primarily utilizes two models: the exponential diode model and the constant-voltage-drop model. The exponential model comes into play when the source voltage exceeds 0.5 volts, pushing the diode current to rise exponentially above the saturation current. This relationship is graphically depicted in the current-voltage (I-V) curve, illustrating the diode's...
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Small-signal Diode Model01:18

Small-signal Diode Model

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In analyzing the behavior of diodes in circuits, the relationship between the current through a diode and the voltage across it is of particular interest, especially when considering the effect of a direct current (DC) bias voltage. When applied, this DC bias influences the diode's operating point, known as the Q point, around which the current-voltage (I-V) characteristic of the diode exhibits exponential behavior. Introducing a small, time-varying signal on top of this bias aids in...
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P-N junction01:11

P-N junction

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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...
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Voltage Doubler Circuit01:23

Voltage Doubler Circuit

463
A voltage doubler circuit integrates two main components: a clamping section and a rectifier section. The clamping section consists of a capacitor (C1) and a diode (D1), whereas the rectifier section is equipped with another diode (D2) and capacitor (C2). This circuit produces an output voltage with twice the amplitude of the sinusoidal input voltage.
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Schottky Barrier Diode01:27

Schottky Barrier Diode

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Schottky barrier diodes are specialized semiconductor devices characterized by their unique construction. This construction involves combining a metal layer with a moderately doped n-type semiconductor material. This combination leads to the formation of a Schottky barrier, a pivotal element that defines the diode's operational characteristics. The core functionality of Schottky barrier diodes is their capacity to allow current to flow in only one direction due to their distinctive...
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Related Experiment Video

Updated: Jun 2, 2025

Indoor Experimental Assessment of the Efficiency and Irradiance Spot of the Achromatic Doublet on Glass ADG Fresnel Lens for Concentrating Photovoltaics
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Reconfigured single- and double-diode models for improved modelling of solar cells/modules.

Emre Çelik1, Mehmet Karayel2, Dinçer Maden1

  • 1Department of Electrical and Electronics Engineering, Engineering Faculty, Düzce University, Düzce, Türkiye, Turkey.

Scientific Reports
|January 15, 2025
PubMed
Summary

This study introduces reconfigured solar photovoltaic (PV) models (Reconfig-SDM and Reconfig-DDM) for improved PV system efficiency. These new models, optimized with the squirrel search algorithm (SSA), demonstrate superior accuracy in PV device modeling.

Keywords:
I-V characteristicPV modelingParameter identificationReconfigured DDMReconfigured SDMSquirrel search algorithm

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Area of Science:

  • Renewable Energy Engineering
  • Photovoltaic Device Modeling
  • Computational Intelligence

Background:

  • Accurate modeling of photovoltaic (PV) cells and modules is crucial for optimizing PV system efficiency.
  • Existing research primarily focuses on the single-diode model (SDM) and double-diode model (DDM), often using metaheuristic algorithms for parameter extraction.
  • Limitations in classical models necessitate more representative approaches for precise PV performance prediction.

Purpose of the Study:

  • To introduce novel reconfigured single-diode (Reconfig-SDM) and double-diode (Reconfig-DDM) models for enhanced PV device modeling.
  • To employ the squirrel search algorithm (SSA) for global parameter identification of the proposed models.
  • To validate the effectiveness of the Reconfig-SDM and Reconfig-DDM against experimental data and compare with existing methods.

Main Methods:

  • Development of Reconfig-SDM and Reconfig-DDM by incorporating a series resistance into the diodes of classical SDM and DDM.
  • Application of the squirrel search algorithm (SSA) for optimizing the parameters of the newly proposed PV models.
  • Experimental validation using a commercial RTC France solar cell and a CS6P-220P polycrystalline PV module.

Main Results:

  • The proposed Reconfig-SDM and Reconfig-DDM, optimized via SSA, exhibit enhanced accuracy and effectiveness in modeling PV devices.
  • Significant error reduction was achieved: up to 0.37% for the solar cell and 3.21% for the solar module compared to the best literature approach.
  • Reconfig-DDM showed a remarkable error reduction of 2.58% for the solar cell and 29.0% for the solar module.

Conclusions:

  • The novel Reconfig-SDM and Reconfig-DDM provide more accurate and representative modeling of PV devices compared to conventional models.
  • The squirrel search algorithm (SSA) is an effective tool for global parameter extraction in these advanced PV models.
  • The proposed modeling approach offers a significant improvement in PV system efficiency and performance prediction.