Abstract
With the increase of the component number, the power stress distribution among differential power processing (DPP) converters, control implementation, system cost, and reliability become the most challenging issues for a practical photovoltaic (PV) DPP system. This article introduces an improved power-rating balance (IPRB) control for the PV-to-bus based DPP architecture that ensures each PV submodule operate at its true maximum power point (MPP) while achieving more balanced power stress distribution and higher reliability. Specifically, a submodule-level finite-state-machine-based MPP tracking is implemented to guarantee always maximum power yield, whereas a string-level power-rating balancing (PRB) control is adopted to balance the unit-maximum proceeded power by DPP converters based on the built power flow model with respect to the string current. A comprehensive comparison of advanced control strategies for PV-to-bus DPP architectures, including least power point tracking, voltage equalization (VE) based PRB control, and the proposed IPRB, has been carried out with the mission-profile-based reliability assessment under different partial shading scenarios. Component-failure-rate-based reliability analysis shows that the PV-to-bus DPP architecture with the proposed IPRB control can significantly improve the system reliability. Main simulation and experimental evaluations are carried out to verify the effectiveness of the proposed control.
| Original language | English |
|---|---|
| Pages (from-to) | 879-895 |
| Number of pages | 17 |
| Journal | IEEE Transactions on Power Electronics |
| Volume | 37 |
| Issue number | 1 |
| Early online date | 1 Jul 2021 |
| DOIs | |
| Publication status | Published - Jan 2022 |
Bibliographical note
Funding Information:Manuscript received February 8, 2021; revised May 12, 2021; accepted June 24, 2021. Date of publication July 1, 2021; date of current version September 16, 2021. This work was supported in part by the Research Development Fund of XJTLU under Grant RDF-17-01-28, in part by the Research Enhancement Fund of XJTLU under Grant REF-17-01-02, in part by the Suzhou Prospective Application Programme under Grant SYG202016, and in part by the XJTLU Key Programme Special Fund under Grants KSF-A-08, KSF-E-13, and KSF-T-04. Recommended for publication by Associate Editor F. Gao. (Corresponding author: Huiqing Wen.) Yinxiao Zhu, Huiqing Wen, Guanying Chu, Xue Wang, and Qilin Peng are with the School of Advanced Technology, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China (e-mail: Yinxiao.Zhu19@ student.xjtlu.edu.cn; [email protected]; [email protected]; [email protected]; [email protected]).
Keywords
- Differential power processing (DPP)
- maximum power point (MPP) tracking
- mismatched photovoltaic (PV)
- power-rating balancing (PRB)