TY - GEN
T1 - A Novel Global Maximum Power Point Tracking Technique based on Shading Detection for Photovoltaic Strings
AU - Bi, Ziqiang
AU - Ma, Jieming
AU - Man, Ka Lok
AU - Yue, Yong
AU - Smith, Jeremy S.
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/21
Y1 - 2020/10/21
N2 - Multiple peaks in power-voltage (P-V) characteristics of photovoltaic (PV) strings under partial shading conditions (PSC) bring challenges to maximum power point tracking (MPPT) techniques for reaching the global maximum power point (GMPP). Early studies have revealed that the locus of the GMPP can be predicted from the shading information, which is the mathematical indicator to express the PSC. In this paper, a novel global maximum power point tracking (GMPPT) method based on the detection of the shading vector is proposed in this paper. The locus of the GMPP is estimated from the peak matrix transformed by shading vector. Simulation results demonstrate that the proposed GMPPT method is capable of tracking the GMPP efficiently under various shading patterns. By comparing with the original \mathbf{0.8\mathbf{V}{\mathbf{OC}}}-model-based MPPT method, the proposed method reduces the tracking step by 75% while maintaining good prediction accuracy.
AB - Multiple peaks in power-voltage (P-V) characteristics of photovoltaic (PV) strings under partial shading conditions (PSC) bring challenges to maximum power point tracking (MPPT) techniques for reaching the global maximum power point (GMPP). Early studies have revealed that the locus of the GMPP can be predicted from the shading information, which is the mathematical indicator to express the PSC. In this paper, a novel global maximum power point tracking (GMPPT) method based on the detection of the shading vector is proposed in this paper. The locus of the GMPP is estimated from the peak matrix transformed by shading vector. Simulation results demonstrate that the proposed GMPPT method is capable of tracking the GMPP efficiently under various shading patterns. By comparing with the original \mathbf{0.8\mathbf{V}{\mathbf{OC}}}-model-based MPPT method, the proposed method reduces the tracking step by 75% while maintaining good prediction accuracy.
KW - Mathbf{0.8\mathbf{V}{\mathbf{OC}}} model
KW - global maximum power point tracking
KW - partial shading conditions
KW - shading information
UR - http://www.scopus.com/inward/record.url?scp=85100766333&partnerID=8YFLogxK
U2 - 10.1109/ISOCC50952.2020.9333031
DO - 10.1109/ISOCC50952.2020.9333031
M3 - Conference Proceeding
AN - SCOPUS:85100766333
T3 - Proceedings - International SoC Design Conference, ISOCC 2020
SP - 165
EP - 166
BT - Proceedings - International SoC Design Conference, ISOCC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th International System-on-Chip Design Conference, ISOCC 2020
Y2 - 21 October 2020 through 24 October 2020
ER -