Power Ramp-Rate Control for Differential Power Processing-based Distributed PV Systems

Yinxiao Zhu; Huiqing Wen; Guanying Chu; Qinglei Bu; Xue Wang; Haochen Shi

doi:10.1109/ECCE50734.2022.9947926

Power Ramp-Rate Control for Differential Power Processing-based Distributed PV Systems

Yinxiao Zhu
, Huiqing Wen
, Guanying Chu
, Qinglei Bu
, Xue Wang
, Haochen Shi

Xi'an Jiaotong-Liverpool University
Huazhong University of Science and Technology

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

5 Citations (Scopus)

Abstract

The grid support functionalities become mandatory in the revised standards for grid-connected renewable energy power systems, especially distributed photovoltaic (DPV) systems. However, the DPV systems in residential locations are scarcely invisible for system operators and easily affected by the environmental variations, especially mismatching induced by cloud passing. The differential power processing (DPP) is an effective architecture for eliminating the DPV system's module-level mismatching. However, the prior-art controls for DPP architecture are mainly focused on power maximization but missed grid support functionalities. To overcome this, a power ramp-rate control (PRRC) for PV-to-Battery DPP architecture is proposed in this paper, which guarantees the effectiveness of high ramp-rate fluctuation mitigation in mismatching DPV systems. Additionally, a post-ramp optimization strategy is proposed to maximize the conversion efficiency and constrain the power through into the battery according to the battery state of charge. Finally, simulation verification will be provided to prove the effectiveness of the proposed PRRC algorithm.

Original language	English
Title of host publication	2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728193878
DOIs	https://doi.org/10.1109/ECCE50734.2022.9947926
Publication status	Published - 2022
Event	2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 - Detroit, United States Duration: 9 Oct 2022 → 13 Oct 2022

Publication series

Name	2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

Conference

Conference	2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
Country/Territory	United States
City	Detroit
Period	9/10/22 → 13/10/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Differential power processing
flexible power point tracking
maximum power point
partial shading conditions
photovoltaic system

Access to Document

10.1109/ECCE50734.2022.9947926

Cite this

Zhu, Y., Wen, H., Chu, G., Bu, Q., Wang, X., & Shi, H. (2022). Power Ramp-Rate Control for Differential Power Processing-based Distributed PV Systems. In 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 (2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE50734.2022.9947926

@inproceedings{94a0673957714aab817ee21e63a71521,

title = "Power Ramp-Rate Control for Differential Power Processing-based Distributed PV Systems",

abstract = "The grid support functionalities become mandatory in the revised standards for grid-connected renewable energy power systems, especially distributed photovoltaic (DPV) systems. However, the DPV systems in residential locations are scarcely invisible for system operators and easily affected by the environmental variations, especially mismatching induced by cloud passing. The differential power processing (DPP) is an effective architecture for eliminating the DPV system's module-level mismatching. However, the prior-art controls for DPP architecture are mainly focused on power maximization but missed grid support functionalities. To overcome this, a power ramp-rate control (PRRC) for PV-to-Battery DPP architecture is proposed in this paper, which guarantees the effectiveness of high ramp-rate fluctuation mitigation in mismatching DPV systems. Additionally, a post-ramp optimization strategy is proposed to maximize the conversion efficiency and constrain the power through into the battery according to the battery state of charge. Finally, simulation verification will be provided to prove the effectiveness of the proposed PRRC algorithm.",

keywords = "Differential power processing, flexible power point tracking, maximum power point, partial shading conditions, photovoltaic system",

author = "Yinxiao Zhu and Huiqing Wen and Guanying Chu and Qinglei Bu and Xue Wang and Haochen Shi",

note = "Funding Information: This work was supported by National Natural Science Foundation of China (52177195), China Postdoctoral Science Foundation (2021M691116), the Research development fund of XJTLU (RDF-16-01-10, RDF-16-02-31, RDF-17-01-28), the Research Enhancement fund of XJTLU (REF-17-01-02), the Suzhou Prospective Application programme (SYG202016), and the XJTLU Key Programme Special Fund (KSF-A-08, KSF-E-13, KSF-E-65, KSF-T-04). Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 ; Conference date: 09-10-2022 Through 13-10-2022",

year = "2022",

doi = "10.1109/ECCE50734.2022.9947926",

language = "English",

series = "2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022",

}

Zhu, Y, Wen, H , Chu, G , Bu, Q, Wang, X & Shi, H 2022, Power Ramp-Rate Control for Differential Power Processing-based Distributed PV Systems. in 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022. 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022, Detroit, United States, 9/10/22. https://doi.org/10.1109/ECCE50734.2022.9947926

Power Ramp-Rate Control for Differential Power Processing-based Distributed PV Systems. / Zhu, Yinxiao; Wen, Huiqing ; Chu, Guanying et al.
2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Power Ramp-Rate Control for Differential Power Processing-based Distributed PV Systems

AU - Zhu, Yinxiao

AU - Wen, Huiqing

AU - Chu, Guanying

AU - Bu, Qinglei

AU - Wang, Xue

AU - Shi, Haochen

N1 - Funding Information: This work was supported by National Natural Science Foundation of China (52177195), China Postdoctoral Science Foundation (2021M691116), the Research development fund of XJTLU (RDF-16-01-10, RDF-16-02-31, RDF-17-01-28), the Research Enhancement fund of XJTLU (REF-17-01-02), the Suzhou Prospective Application programme (SYG202016), and the XJTLU Key Programme Special Fund (KSF-A-08, KSF-E-13, KSF-E-65, KSF-T-04). Publisher Copyright: © 2022 IEEE.

PY - 2022

Y1 - 2022

N2 - The grid support functionalities become mandatory in the revised standards for grid-connected renewable energy power systems, especially distributed photovoltaic (DPV) systems. However, the DPV systems in residential locations are scarcely invisible for system operators and easily affected by the environmental variations, especially mismatching induced by cloud passing. The differential power processing (DPP) is an effective architecture for eliminating the DPV system's module-level mismatching. However, the prior-art controls for DPP architecture are mainly focused on power maximization but missed grid support functionalities. To overcome this, a power ramp-rate control (PRRC) for PV-to-Battery DPP architecture is proposed in this paper, which guarantees the effectiveness of high ramp-rate fluctuation mitigation in mismatching DPV systems. Additionally, a post-ramp optimization strategy is proposed to maximize the conversion efficiency and constrain the power through into the battery according to the battery state of charge. Finally, simulation verification will be provided to prove the effectiveness of the proposed PRRC algorithm.

AB - The grid support functionalities become mandatory in the revised standards for grid-connected renewable energy power systems, especially distributed photovoltaic (DPV) systems. However, the DPV systems in residential locations are scarcely invisible for system operators and easily affected by the environmental variations, especially mismatching induced by cloud passing. The differential power processing (DPP) is an effective architecture for eliminating the DPV system's module-level mismatching. However, the prior-art controls for DPP architecture are mainly focused on power maximization but missed grid support functionalities. To overcome this, a power ramp-rate control (PRRC) for PV-to-Battery DPP architecture is proposed in this paper, which guarantees the effectiveness of high ramp-rate fluctuation mitigation in mismatching DPV systems. Additionally, a post-ramp optimization strategy is proposed to maximize the conversion efficiency and constrain the power through into the battery according to the battery state of charge. Finally, simulation verification will be provided to prove the effectiveness of the proposed PRRC algorithm.

KW - Differential power processing

KW - flexible power point tracking

KW - maximum power point

KW - partial shading conditions

KW - photovoltaic system

UR - https://www.scopus.com/pages/publications/85144023639

U2 - 10.1109/ECCE50734.2022.9947926

DO - 10.1109/ECCE50734.2022.9947926

M3 - Conference Proceeding

AN - SCOPUS:85144023639

T3 - 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

BT - 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

Y2 - 9 October 2022 through 13 October 2022

ER -

Power Ramp-Rate Control for Differential Power Processing-based Distributed PV Systems

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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