Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/88878
Title: | An adaptive control scheme for flexible power point tracking in photovoltaic systems | Authors: | Dehghani Tafti, Hossein Sangwongwanich, Ariya Yang, Yongheng Pou, Josep Konstantinou, Georgios Blaabjerg, Frede |
Keywords: | Adaptive Voltage-Step Calculation Constant Power Generation DRNTU::Engineering::Electrical and electronic engineering::Power electronics |
Issue Date: | 2018 | Source: | Dehghani Tafti, H., Sangwongwanich, A., Yang, Y., Pou, J., Konstantinou, G., & Blaabjerg, F. (2018). An adaptive control scheme for flexible power point tracking in photovoltaic systems. IEEE Transactions on Power Electronics, In press. doi:10.1109/TPEL.2018.2869172 | Series/Report no.: | IEEE Transactions on Power Electronics | Abstract: | One of the major concerns associated with the increasing penetration of grid-connected photovoltaic (PV) power plants is the operational challenges (e.g., overloading and overvoltage), imposed due to the variability of PV power generation. A flexible power point tracking (FPPT), which can limit the PV output power to a specific value, has thus been defined in grid-connection regulations to tackle some of the integration challenging issues. However, the conventional FPPT algorithm based on the perturb and observe method suffers from slow dynamics. In this paper, an adaptive FPPT algorithm is thus proposed, which features fast dynamics under rapidly changing environmental conditions (e.g., due to passing clouds), while maintaining low power oscillations in steady-state. The proposed algorithm employs an extra measured sampling at each perturbation to observe the change in the operating condition (e.g., solar irradiance). Afterwards, the voltage-step is adaptively calculated following the observed condition (e.g., transient or steady-state) in a way to improve the tracking performance. Experimental results on a 3-kVA grid-connected single-phase PV system validate the effectiveness of the proposed algorithm in terms of fast dynamics and high accuracy under various operational conditions. | URI: | https://hdl.handle.net/10356/88878 http://hdl.handle.net/10220/46007 |
URL: | https://ieeexplore-ieee-org.ezlibproxy1.ntu.edu.sg/document/8457276/ | ISSN: | 0885-8993 | DOI: | 10.1109/TPEL.2018.2869172 | Schools: | School of Electrical and Electronic Engineering | Rights: | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/TPEL.2018.2869172]. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Journal Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
IEEETPEL_8457276.pdf | 2.71 MB | Adobe PDF | View/Open |
SCOPUSTM
Citations
5
96
Updated on Mar 23, 2024
Web of ScienceTM
Citations
5
70
Updated on Oct 28, 2023
Page view(s)
424
Updated on Mar 27, 2024
Download(s) 50
169
Updated on Mar 27, 2024
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.