Comparative Analysis of Flexible Power Point Tracking Algorithms in Photovoltaic Systems

Hossein Dehghani Tafti; Georgios Konstantinou; Christopher D. Townsend; Glen G. Farivar; Salvador Ceballos; Josep Pou; John E. Fletcher

doi:10.1109/ECCE44975.2020.9236032

Comparative Analysis of Flexible Power Point Tracking Algorithms in Photovoltaic Systems

Hossein Dehghani Tafti, Georgios Konstantinou, Christopher D. Townsend, Glen G. Farivar, Salvador Ceballos, Josep Pou, John E. Fletcher

Power Electronics and System Equipment

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

10 Citas (Scopus)

Resumen

Several flexible power point tracking (FPPT) algorithms have been recently proposed in the literature to provide various grid support functionalities in photovoltaic (PV) systems. These algorithms aim to regulate the PV power to a specific value, imposed by grid codes and according to operational conditions. To obtain a fair comparison between several FPPT algorithms, each algorithm must be designed with its optimum parameter values. The main contribution of this paper is to provide a detailed analysis of the effect of various parameters of three FPPT algorithms on their transient or steady-state performance. The results of this analysis are used to obtain an optimum tuning of the parameters of each algorithm to attain an enhanced performance in both transient and steady-state operating conditions. Finally, the performance of these algorithms is compared using simulation and an experimental laboratory systems.

Idioma original	Inglés
Título de la publicación alojada	ECCE 2020 - IEEE Energy Conversion Congress and Exposition
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	110-115
Número de páginas	6
ISBN (versión digital)	9781728158266
DOI	https://doi.org/10.1109/ECCE44975.2020.9236032
Estado	Publicada - 11 oct 2020
Evento	12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020 - Virtual, Detroit, Estados Unidos Duración: 11 oct 2020 → 15 oct 2020

Serie de la publicación

Nombre	ECCE 2020 - IEEE Energy Conversion Congress and Exposition

Conferencia

Conferencia	12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020
País/Territorio	Estados Unidos
Ciudad	Virtual, Detroit
Período	11/10/20 → 15/10/20

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1109/ECCE44975.2020.9236032

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Tafti, H. D., Konstantinou, G., Townsend, C. D., Farivar, G. G., Ceballos, S., Pou, J., & Fletcher, J. E. (2020). Comparative Analysis of Flexible Power Point Tracking Algorithms in Photovoltaic Systems. En ECCE 2020 - IEEE Energy Conversion Congress and Exposition (pp. 110-115). Artículo 9236032 (ECCE 2020 - IEEE Energy Conversion Congress and Exposition). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE44975.2020.9236032

Tafti, Hossein Dehghani ; Konstantinou, Georgios ; Townsend, Christopher D. et al. / Comparative Analysis of Flexible Power Point Tracking Algorithms in Photovoltaic Systems. ECCE 2020 - IEEE Energy Conversion Congress and Exposition. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 110-115 (ECCE 2020 - IEEE Energy Conversion Congress and Exposition).

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title = "Comparative Analysis of Flexible Power Point Tracking Algorithms in Photovoltaic Systems",

abstract = "Several flexible power point tracking (FPPT) algorithms have been recently proposed in the literature to provide various grid support functionalities in photovoltaic (PV) systems. These algorithms aim to regulate the PV power to a specific value, imposed by grid codes and according to operational conditions. To obtain a fair comparison between several FPPT algorithms, each algorithm must be designed with its optimum parameter values. The main contribution of this paper is to provide a detailed analysis of the effect of various parameters of three FPPT algorithms on their transient or steady-state performance. The results of this analysis are used to obtain an optimum tuning of the parameters of each algorithm to attain an enhanced performance in both transient and steady-state operating conditions. Finally, the performance of these algorithms is compared using simulation and an experimental laboratory systems.",

keywords = "Active power control, flexible power point tracking, photovoltaic systems, sensitivity analysis",

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Tafti, HD, Konstantinou, G, Townsend, CD, Farivar, GG, Ceballos, S, Pou, J & Fletcher, JE 2020, Comparative Analysis of Flexible Power Point Tracking Algorithms in Photovoltaic Systems. En ECCE 2020 - IEEE Energy Conversion Congress and Exposition., 9236032, ECCE 2020 - IEEE Energy Conversion Congress and Exposition, Institute of Electrical and Electronics Engineers Inc., pp. 110-115, 12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020, Virtual, Detroit, Estados Unidos, 11/10/20. https://doi.org/10.1109/ECCE44975.2020.9236032

Comparative Analysis of Flexible Power Point Tracking Algorithms in Photovoltaic Systems. / Tafti, Hossein Dehghani; Konstantinou, Georgios; Townsend, Christopher D. et al.
ECCE 2020 - IEEE Energy Conversion Congress and Exposition. Institute of Electrical and Electronics Engineers Inc., 2020. p. 110-115 9236032 (ECCE 2020 - IEEE Energy Conversion Congress and Exposition).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Comparative Analysis of Flexible Power Point Tracking Algorithms in Photovoltaic Systems

AU - Tafti, Hossein Dehghani

AU - Konstantinou, Georgios

AU - Townsend, Christopher D.

AU - Farivar, Glen G.

AU - Ceballos, Salvador

AU - Pou, Josep

AU - Fletcher, John E.

PY - 2020/10/11

Y1 - 2020/10/11

N2 - Several flexible power point tracking (FPPT) algorithms have been recently proposed in the literature to provide various grid support functionalities in photovoltaic (PV) systems. These algorithms aim to regulate the PV power to a specific value, imposed by grid codes and according to operational conditions. To obtain a fair comparison between several FPPT algorithms, each algorithm must be designed with its optimum parameter values. The main contribution of this paper is to provide a detailed analysis of the effect of various parameters of three FPPT algorithms on their transient or steady-state performance. The results of this analysis are used to obtain an optimum tuning of the parameters of each algorithm to attain an enhanced performance in both transient and steady-state operating conditions. Finally, the performance of these algorithms is compared using simulation and an experimental laboratory systems.

AB - Several flexible power point tracking (FPPT) algorithms have been recently proposed in the literature to provide various grid support functionalities in photovoltaic (PV) systems. These algorithms aim to regulate the PV power to a specific value, imposed by grid codes and according to operational conditions. To obtain a fair comparison between several FPPT algorithms, each algorithm must be designed with its optimum parameter values. The main contribution of this paper is to provide a detailed analysis of the effect of various parameters of three FPPT algorithms on their transient or steady-state performance. The results of this analysis are used to obtain an optimum tuning of the parameters of each algorithm to attain an enhanced performance in both transient and steady-state operating conditions. Finally, the performance of these algorithms is compared using simulation and an experimental laboratory systems.

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Tafti HD, Konstantinou G, Townsend CD, Farivar GG, Ceballos S, Pou J et al. Comparative Analysis of Flexible Power Point Tracking Algorithms in Photovoltaic Systems. En ECCE 2020 - IEEE Energy Conversion Congress and Exposition. Institute of Electrical and Electronics Engineers Inc. 2020. p. 110-115. 9236032. (ECCE 2020 - IEEE Energy Conversion Congress and Exposition). doi: 10.1109/ECCE44975.2020.9236032

Comparative Analysis of Flexible Power Point Tracking Algorithms in Photovoltaic Systems

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