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...
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sg-ntu-dr.10356-1783082024-11-25T00:08:49Z Hybrid global flexible power point tracking algorithm for photovoltaic systems Kumaresan, Anusha Tafti, Hossein Dehghani Farivar, Glen G. Pou, Josep Strunz, Kai Niyato, Dusit Interdisciplinary Graduate School (IGS) School of Computer Science and Engineering School of Electrical and Electronic Engineering 2024 Energy Conversion Congress & Expo (ECCE Europe) Energy Research Institute @ NTU (ERI@N) Engineering Active power control Global flexible power point tracking 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. Simulation and experimental validation 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. National Research Foundation (NRF) Submitted/Accepted version This research was supported by the Republic of Singapore’s National Research Foundation (NRF) through the “Distributed Energy Resource Management System for Energy Grid 2.0” project at the Energy Research Institute @ Nanyang Technological University, Singapore. It was also partially supported by the Office of Naval Research U.S. under DUNS Code: 595886219. 2024-11-25T00:08:48Z 2024-11-25T00:08:48Z 2024 Conference Paper Kumaresan, A., Tafti, H. D., Farivar, G. G., Pou, J., Strunz, K. & Niyato, D. (2024). Hybrid global flexible power point tracking algorithm for photovoltaic systems. 2024 Energy Conversion Congress & Expo (ECCE Europe). https://dx.doi.org/10.1109/ECCEEurope62508.2024.10751949 979-8-3503-6444-6 https://hdl.handle.net/10356/178308 10.1109/ECCEEurope62508.2024.10751949 https://www.ecce-europe.org/2024/ en © 2024 IEEE. All rights reserved. This article may be downloaded for personal use only. Any other use requires prior permission of the copyright holder. The Version of Record is available online at http://doi.org/10.1109/ECCEEurope62508.2024.10751949. application/pdf |
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Engineering Active power control Global flexible power point tracking Kumaresan, Anusha Tafti, Hossein Dehghani Farivar, Glen G. Pou, Josep Strunz, Kai Niyato, Dusit Hybrid global flexible power point tracking algorithm for photovoltaic systems |
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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. Simulation and experimental validation 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. |
author2 |
Interdisciplinary Graduate School (IGS) |
author_facet |
Interdisciplinary Graduate School (IGS) Kumaresan, Anusha Tafti, Hossein Dehghani Farivar, Glen G. Pou, Josep Strunz, Kai Niyato, Dusit |
format |
Conference or Workshop Item |
author |
Kumaresan, Anusha Tafti, Hossein Dehghani Farivar, Glen G. Pou, Josep Strunz, Kai Niyato, Dusit |
author_sort |
Kumaresan, Anusha |
title |
Hybrid global flexible power point tracking algorithm for photovoltaic systems |
title_short |
Hybrid global flexible power point tracking algorithm for photovoltaic systems |
title_full |
Hybrid global flexible power point tracking algorithm for photovoltaic systems |
title_fullStr |
Hybrid global flexible power point tracking algorithm for photovoltaic systems |
title_full_unstemmed |
Hybrid global flexible power point tracking algorithm for photovoltaic systems |
title_sort |
hybrid global flexible power point tracking algorithm for photovoltaic systems |
publishDate |
2024 |
url |
https://hdl.handle.net/10356/178308 https://www.ecce-europe.org/2024/ |
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1816858947666051072 |