TY - GEN
T1 - A MPPT control strategy of solar power systems for low irradiance conditions
AU - Liu, Hwa Dong
AU - Lin, Chang Hua
AU - Cheng, Wei Xuan
AU - Shih, Wen Ching
AU - Chen, Liang Rui
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/25
Y1 - 2017/7/25
N2 - A novel algorithm for maximum power point tracking (MPPT) in solar power-generating systems was proposed and compared with the conventional methods of hill climbing, perturbation and observation, and incremental conductance. The three conventional algorithms are prone to divergence under low irradiance levels (<150W/m2), resulting in MPPT difficulties. This study proposed a new MPPT technique based on the relationship between the sun and the horizon, and also circumvented the drawbacks of conventional MPPT algorithms. The proposed algorithm facilitated quick and precise convergence at the maximum power point for a photovoltaic module under a low irradiance level of 100W/m2. Comparisons of the proposed and conventional hill climbing algorithms were conducted for irradiance levels of 650, 500, 250, and 100 W/m2, and the proposed algorithm yielded consistently more favorable results than did the conventional hill climbing algorithm.
AB - A novel algorithm for maximum power point tracking (MPPT) in solar power-generating systems was proposed and compared with the conventional methods of hill climbing, perturbation and observation, and incremental conductance. The three conventional algorithms are prone to divergence under low irradiance levels (<150W/m2), resulting in MPPT difficulties. This study proposed a new MPPT technique based on the relationship between the sun and the horizon, and also circumvented the drawbacks of conventional MPPT algorithms. The proposed algorithm facilitated quick and precise convergence at the maximum power point for a photovoltaic module under a low irradiance level of 100W/m2. Comparisons of the proposed and conventional hill climbing algorithms were conducted for irradiance levels of 650, 500, 250, and 100 W/m2, and the proposed algorithm yielded consistently more favorable results than did the conventional hill climbing algorithm.
KW - MPPT
KW - irradiance
KW - solar power
UR - http://www.scopus.com/inward/record.url?scp=85034110709&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85034110709&partnerID=8YFLogxK
U2 - 10.1109/IFEEC.2017.7992165
DO - 10.1109/IFEEC.2017.7992165
M3 - Conference contribution
AN - SCOPUS:85034110709
T3 - 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017
SP - 932
EP - 935
BT - 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IEEE International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017
Y2 - 3 June 2017 through 7 June 2017
ER -