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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:
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Development of maximum power point tracking algorithm based on Improved Optimized Adaptive Differential Conductance

Val Hyginus Udoka Eze1,2, Martin Chinweokwu Eze3, Samuel A Ugwu4

  • 1Department of Publication and Extension Unit, Kampala International University, Uganda.

Heliyon
|January 27, 2025
PubMed
Summary

The Improved Optimized Adaptive Differential Conductance (IOADC) algorithm significantly enhances photovoltaic (PV) system efficiency. This advanced Maximum Power Point Tracking (MPPT) technique improves power output by 20.21% in real-world conditions.

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Area of Science:

  • Renewable Energy Systems
  • Photovoltaic Power Generation
  • Electrical Engineering

Background:

  • Photovoltaic (PV) systems require Maximum Power Point Tracking (MPPT) to maximize energy transfer to the load.
  • Existing MPPT techniques may not fully optimize power output under varying environmental conditions.
  • Module Saturation Current (MSC) and environmental factors like irradiance and temperature significantly influence PV performance.

Purpose of the Study:

  • To develop and evaluate an advanced MPPT algorithm, the Improved Optimized Adaptive Differential Conductance (IOADC).
  • To assess the IOADC algorithm's effectiveness in improving power generation and transfer efficiency in PV systems.
  • To analyze the impact of varying solar irradiance, temperature, and Module Saturation Current (MSC) on PV output power.

Main Methods:

  • Developed the IOADC algorithm using Kirchhoff's law within a single diode model framework.
  • Evaluated algorithm performance under diverse solar irradiance (500-1000 W/m²) and temperature (250-350 K) conditions.
  • Validated simulation and real-world performance using MATLAB 2020b, comparing IOADC against OADC and Voltage Control Technique.

Main Results:

  • PV module impedance decreases with increasing irradiance, while load impedance remains stable.
  • IOADC demonstrated superior performance, achieving 100.1739 W at 750 W/m² irradiance, outperforming OADC and Voltage Control.
  • The IOADC algorithm showed a relative improvement of 15.82% in simulations and 20.21% in real-world applications.

Conclusions:

  • The IOADC algorithm is highly effective in maximizing power transfer in PV systems under varying environmental conditions.
  • Increased temperature raises module saturation current, reducing PV power output, a phenomenon effectively managed by IOADC.
  • IOADC offers a significant advancement in MPPT technology, enhancing both simulated and real-world PV energy harvesting.