Open Access

ARTICLE

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

Zhaoqiang Wang¹, Fuyin Ni^2,*

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:

(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

Received 30 June 2024; Accepted 02 August 2024; Issue published 22 November 2024

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.

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