Research on a New Maximum Power Tracking Algorithm for Photovoltaic Power Generation Systems

Authors

  • Lei Shi Guizhou Power Grid Co. image/svg+xml
  • Zongyu Zhang Guizhou Power Grid Co.
  • Yongrui Yu Guizhou Power Grid Co.
  • Chun Xie Guizhou Power Grid Co.
  • Tongbin Yang Guizhou Power Grid Co.

DOI:

https://doi.org/10.4108/ew.7325

Keywords:

PV Systems, MPPT, Irradiation, Power output, Ant-colony integrated bald eagle search optimization (AC-BESO)

Abstract

INTRODUCTION: Significant advances have been made in photovoltaic (PV) systems, resulting in the development of new Maximum Power Point Tracking (MPPT) methods. The output of PV systems is heavily influenced by the varying performance of solar-facing PV panels under different weather conditions. Partial shading (PS) conditions pose additional challenges, leading to multiple peaks in the power-voltage (P-V) curve and reduced output power. Therefore, controlling MPPT under partial shading conditions is a complex task.

OBJECTIVES: This study aims to introduce a novel MMPT algorithm based on the ant colony incorporated bald eagle search optimization (AC-BESO) method to enhance the efficiency of PV systems.

METHODS: The effectiveness of the proposed MPPT algorithm was established through a series of experiments using MATLAB software, tested under various levels of solar irradiance.

RESULTS: Compared to existing methods, the proposed AC-BESO algorithm stands out for its simplicity in implementation and reduced computational complexity. Furthermore, its tracking performance surpasses that of conventional methods, as validated through comparative analyses.

CONCLUSION: This study confirms the efficacy of the AC-BESO method over traditional strategies. It serves as a framework for selecting an MPPT approach when designing PV systems.

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Published

19-11-2024

How to Cite

1.
Shi L, Zhang Z, Yu Y, Xie C, Yang T. Research on a New Maximum Power Tracking Algorithm for Photovoltaic Power Generation Systems. EAI Endorsed Trans Energy Web [Internet]. 2024 Nov. 19 [cited 2024 Dec. 9];12. Available from: https://publications.eai.eu/index.php/ew/article/view/7325

Issue

Section

Advanced Wireless Power Transmission Technology