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.
N1 - Publisher Copyright:
© 2020 IEEE.
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.
KW - Active power control
KW - flexible power point tracking
KW - photovoltaic systems
KW - sensitivity analysis
UR - http://www.scopus.com/inward/record.url?scp=85097165389&partnerID=8YFLogxK
U2 - 10.1109/ECCE44975.2020.9236032
DO - 10.1109/ECCE44975.2020.9236032
M3 - Conference contribution
AN - SCOPUS:85097165389
T3 - ECCE 2020 - IEEE Energy Conversion Congress and Exposition
SP - 110
EP - 115
BT - ECCE 2020 - IEEE Energy Conversion Congress and Exposition
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020
Y2 - 11 October 2020 through 15 October 2020
ER -
