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 - http://www.scopus.com/inward/record.url?scp=85144023639&partnerID=8YFLogxK
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 -
