A Study on Maximum Power Point Tracking Technology for Solar Power Systems Using Power Variation to Adjust Step Response

The Perturb and Observe (P&O) method is a widely used Maximum Power Point Tracking (MPPT) algorithm in photovoltaic power generation systems.However, it faces a trade-off between minimizing steady-state oscillation losses and accelerating the transient response.This study introduces an enhanced P&O method with an adjustable step size to address this issue.The method starts with a larger step size during the initial tracking phase, and when the operating point surpasses the Maximum Power Point (MPP), the step size is dynamically adjusted by multiplying it by a factor F, reducing the perturbation magnitude.The step size gradually decreases until it reaches the minimum value that the hardware or system can set up and execute.The proposed method retains the transient advantage of a larger perturbation step size while reducing power loss by minimizing steady-state oscillations.Compared to fixed perturbation step sizes and a fixed multiplier, the proposed method achieves faster perturbation convergence, maintaining a 9 step rapid tracking with a 4% duty cycle in transients and up to 99.98% in steady-state tracking.

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Publication Details

Journal
Proceedings of International Conference on Artificial Life and Robotics
Published
2025-02-13
DOI
https://doi.org/10.5954/icarob.2025.os8-4
Primary Topic
Engineering Applied Research
Type
article
Field-Weighted Citation Impact
0.00

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A Study on Maximum Power Point Tracking Technology for Solar Power Systems Using Power Variation to Adjust Step Response

Yi‐Feng Luo, Chunliang Liu, Can Hu, Guan‐Jhu Chen et al.
Proceedings of International Conference on Artificial Life and Robotics
Engineering Applied Research
article

A Study on Maximum Power Point Tracking Technology for Solar Power Systems Using Power Variation to Adjust Step Response

Yi‐Feng Luo, Chunliang Liu, Can Hu, Guan‐Jhu Chen, Chung‐Wen Hung
article en

Abstract

The Perturb and Observe (P&O) method is a widely used Maximum Power Point Tracking (MPPT) algorithm in photovoltaic power generation systems.However, it faces a trade-off between minimizing steady-state oscillation losses and accelerating the transient response.This study introduces an enhanced P&O method with an adjustable step size to address this issue.The method starts with a larger step size during the initial tracking phase, and when the operating point surpasses the Maximum Power Point (MPP), the step size is dynamically adjusted by multiplying it by a factor F, reducing the perturbation magnitude.The step size gradually decreases until it reaches the minimum value that the hardware or system can set up and execute.The proposed method retains the transient advantage of a larger perturbation step size while reducing power loss by minimizing steady-state oscillations.Compared to fixed perturbation step sizes and a fixed multiplier, the proposed method achieves faster perturbation convergence, maintaining a 9 step rapid tracking with a 4% duty cycle in transients and up to 99.98% in steady-state tracking.

Proceedings of International Conference on Artificial Life and RoboticsVol. 30
National Taiwan University of Science and Technology (TW), National Changhua University of Education (TW), National Yunlin University of Science and Technology (TW)
National Science and Technology Council
Affordable and clean energy
Openalex Percentile: Top 78%
Engineering Applied Research
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A Study on Maximum Power Point Tracking Technology for Solar Power Systems Using Power Variation to Adjust Step Response — Yi‐Feng Luo, Chunliang Liu, et al. · Proceedings of International Conference on Artificial Life and Robotics (2025) | TGRS Research Map | TGRS