Novel Fast-Speed Partial-Shading-Tolerant Flexible Power Point Tracking for Photovoltaic Systems With Explicit Key Points Estimation

Zhu, Yinxiao ORCID: 0000-0003-0192-5286, Wen, Huiqing ORCID: 0000-0002-0169-488X, Tafti, Hossein Dehghani ORCID: 0000-0001-8971-0380, Wang, Guangyu ORCID: 0009-0008-3039-2101, Bu, Qinglei ORCID: 0000-0002-5652-1556, Chu, Guanying ORCID: 0000-0001-5736-775X, Shi, Haochen ORCID: 0000-0001-9675-6942, Hu, Yihua ORCID: 0000-0002-1007-1617 and Jiang, Lin ORCID: 0000-0001-6531-2791 (2024) Novel Fast-Speed Partial-Shading-Tolerant Flexible Power Point Tracking for Photovoltaic Systems With Explicit Key Points Estimation. IEEE Transactions on Sustainable Energy, 15 (1). pp. 466-485.

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Official URL: http://dx.doi.org/10.1109/tste.2023.3303456

Abstract

Recent power curtailment-based photovoltaic (PV) flexible power point tracking (FPPT) algorithms mainly adopted intricate curve fitting or sophisticated curve-scanning mechanisms to ensure the grid supportive functionalities under partial shading conditions (PSCs), showing the limitations of mathematical solidity or system dynamics improvement. Accordingly, a novel fast-speed partial-shading-tolerant FPPT (PST-FPPT) algorithm is proposed in this article. Regarding the proposed scheme, a modified explicit PV model is developed to express the key operation points with the assistance of several representative current-voltage samples from the initialization process, which is beneficial to computational burden reduction and irradiance sensors removal. Additionally, to guarantee the tracking speed to system dynamics, a set point estimation-based direct voltage regulation strategy is proposed in this article, eliminating the redundant searching in approaching the predefined power command. Simulation and experimental evaluations under various PSCs and operational circumstances validated the effectiveness of the proposed control.

Item Type:	Article
Divisions:	Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User:	Symplectic Admin
Date Deposited:	05 Sep 2023 10:55
Last Modified:	15 Mar 2024 04:51
DOI:	10.1109/tste.2023.3303456
Related URLs:	Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3172539