Comparative Analysis of Flexible Power Point Tracking Algorithms in Photovoltaic Systems

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URI: https://hdl.handle.net/11556/2103
ISBN: 9781728158266
DOI: 10.1109/ECCE44975.2020.9236032
Publication date
2020-10-11
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Institute of Electrical and Electronics Engineers Inc.
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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.
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Publisher Copyright: © 2020 IEEE.
Keywords
Active power control , flexible power point tracking , photovoltaic systems , sensitivity analysis , Electrical and Electronic Engineering , Mechanical Engineering , Control and Optimization , Energy Engineering and Power Technology , SDG 7 - Affordable and Clean Energy
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conference output
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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 . in 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 , United States , 11/10/20 . https://doi.org/10.1109/ECCE44975.2020.9236032
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