Hybrid Global Flexible Power Point Tracking Algorithm for Photovoltaic Systems

Frequency support in grid-connected photovoltaic (PV) systems is achieved by employing flexible power point tracking (FPPT) algorithms. Subsequently, according to the grid frequency requirements, the PV power is curtailed to a power reference, unlike the traditional method of operating the PV at the maximum power point. In practical cases, the PV arrays are prone to partial shading, and hence, there is a requirement to formulate the FPPT algorithms that operates effectively during such cases. Moreover, fast transient response is a necessity, which implies that the algorithms proposed in this paper is desirable. This paper proposes a hybrid global FPPT (GFPPT) algorithm based on secant and Newton’s method, to shift the PV operating point to the required power reference. The Newton’s method offers quadratic convergence rate and the secant method guarantees convergence. Hence, a hybrid algorithm consisting of these two methods will provide both fast and guaranteed convergence. Validation through simulation is presented in this paper and the proposed method is compared with the recently presented perturb and observe (P&O) GFPPT algorithm in the literature.

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Published
2024-09-02
DOI
https://doi.org/10.1109/ecceeurope62508.2024.10751949
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Hybrid Global Flexible Power Point Tracking Algorithm for Photovoltaic Systems

Josep Pou, Anusha Kumaresan, Glen G. Farivar, Kai Strunz et al.
Photovoltaic System Optimization Techniques
article

Hybrid Global Flexible Power Point Tracking Algorithm for Photovoltaic Systems

Josep Pou, Anusha Kumaresan, Glen G. Farivar, Kai Strunz, Hossein Dehghani Tafti, Dusit Niyato
article en

Abstract

Frequency support in grid-connected photovoltaic (PV) systems is achieved by employing flexible power point tracking (FPPT) algorithms. Subsequently, according to the grid frequency requirements, the PV power is curtailed to a power reference, unlike the traditional method of operating the PV at the maximum power point. In practical cases, the PV arrays are prone to partial shading, and hence, there is a requirement to formulate the FPPT algorithms that operates effectively during such cases. Moreover, fast transient response is a necessity, which implies that the algorithms proposed in this paper is desirable. This paper proposes a hybrid global FPPT (GFPPT) algorithm based on secant and Newton’s method, to shift the PV operating point to the required power reference. The Newton’s method offers quadratic convergence rate and the secant method guarantees convergence. Hence, a hybrid algorithm consisting of these two methods will provide both fast and guaranteed convergence. Validation through simulation is presented in this paper and the proposed method is compared with the recently presented perturb and observe (P&O) GFPPT algorithm in the literature.

The University of Melbourne (AU), Nanyang Technological University (SG)
National Research Foundation, Nanyang Technological University, Office of Naval Research
Affordable and clean energy
Openalex Percentile: Top 88%
Photovoltaic System Optimization Techniques
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