Open Access iconOpen Access

ARTICLE

crossmark

Maximum Power Point Tracking Based on Improved Kepler Optimization Algorithm and Optimized Perturb & Observe under Partial Shading Conditions

Zhaoqiang Wang1, Fuyin Ni2,*

1 School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, 213001, China
2 Jiangsu Key Laboratory of Power Transmission & Distribution Equipment Technology, Jiangsu University of Technology, Changzhou, 213001, China

* Corresponding Author: Fuyin Ni. Email: email

(This article belongs to the Special Issue: Carbon Reduction and Optimized Recovery Strategies for Unconventional Resource)

Energy Engineering 2024, 121(12), 3779-3799. https://doi.org/10.32604/ee.2024.055535

Abstract

Under the partial shading conditions (PSC) of Photovoltaic (PV) modules in a PV hybrid system, the power output curve exhibits multiple peaks. This often causes traditional maximum power point tracking (MPPT) methods to fall into local optima and fail to find the global optimum. To address this issue, a composite MPPT algorithm is proposed. It combines the improved kepler optimization algorithm (IKOA) with the optimized variable-step perturb and observe (OIP&O). The update probabilities, planetary velocity and position step coefficients of IKOA are nonlinearly and adaptively optimized. This adaptation meets the varying needs of the initial and later stages of the iterative process and accelerates convergence. During stochastic exploration, the refined position update formulas enhance diversity and global search capability. The improvements in the algorithm reduces the likelihood of falling into local optima. In the later stages, the OIP&O algorithm decreases oscillation and increases accuracy. compared with cuckoo search (CS) and gray wolf optimization (GWO), simulation tests of the PV hybrid inverter demonstrate that the proposed IKOA-OIP&O algorithm achieves faster convergence and greater stability under static, local and dynamic shading conditions. These results can confirm the feasibility and effectiveness of the proposed PV MPPT algorithm for PV hybrid systems.

Keywords


Cite This Article

APA Style
Wang, Z., Ni, F. (2024). Maximum power point tracking based on improved kepler optimization algorithm and optimized perturb & observe under partial shading conditions. Energy Engineering, 121(12), 3779-3799. https://doi.org/10.32604/ee.2024.055535
Vancouver Style
Wang Z, Ni F. Maximum power point tracking based on improved kepler optimization algorithm and optimized perturb & observe under partial shading conditions. Energ Eng. 2024;121(12):3779-3799 https://doi.org/10.32604/ee.2024.055535
IEEE Style
Z. Wang and F. Ni, “Maximum Power Point Tracking Based on Improved Kepler Optimization Algorithm and Optimized Perturb & Observe under Partial Shading Conditions,” Energ. Eng., vol. 121, no. 12, pp. 3779-3799, 2024. https://doi.org/10.32604/ee.2024.055535



cc Copyright © 2024 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 424

    View

  • 112

    Download

  • 0

    Like

Share Link