TY - GEN
T1 - Flexible Power Point Tracking for Photovoltaic Systems under Partial Shading Conditions
AU - Zhu, Yinxiao
AU - Wen, Huiqing
AU - Bu, Qinglei
AU - Chu, Guanying
AU - Shi, Haochen
N1 - Funding Information:
V. ACKNOWLEDGEMENT 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 growing number of grid-connected solar systems (PVSs) presents new issues for power system operators in terms of maintaining electricity quality and grid dependability. Following that, the flexible power point tracking (FPPT) algorithm is established in order to implement grid-support features and address negative impacts caused by PVSs' high penetration level, such as overloading and over-voltage. However, only a few pieces of research investigated partial shading conditions (PSCs) in practical operation and encountered scanning technique and implementation complexity limits. To solve these concerns, this paper proposes a global FPPT (Glob-FPPT) control with key point estimation that is extended to PSCs and has a rapid convergence speed. The sampled representative current-voltage pairs from the initialization procedure are used to construct an explicit PV model that expresses the main operating points under PSC and guarantees dynamic performance. Simulations and experimental assessments under various PSCs verify the efficiency of the proposed Glob-FPPT control.
AB - The growing number of grid-connected solar systems (PVSs) presents new issues for power system operators in terms of maintaining electricity quality and grid dependability. Following that, the flexible power point tracking (FPPT) algorithm is established in order to implement grid-support features and address negative impacts caused by PVSs' high penetration level, such as overloading and over-voltage. However, only a few pieces of research investigated partial shading conditions (PSCs) in practical operation and encountered scanning technique and implementation complexity limits. To solve these concerns, this paper proposes a global FPPT (Glob-FPPT) control with key point estimation that is extended to PSCs and has a rapid convergence speed. The sampled representative current-voltage pairs from the initialization procedure are used to construct an explicit PV model that expresses the main operating points under PSC and guarantees dynamic performance. Simulations and experimental assessments under various PSCs verify the efficiency of the proposed Glob-FPPT control.
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=85144044012&partnerID=8YFLogxK
U2 - 10.1109/ECCE50734.2022.9947430
DO - 10.1109/ECCE50734.2022.9947430
M3 - Conference Proceeding
AN - SCOPUS:85144044012
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 -
