TY - JOUR
T1 - A GMPPT algorithm for preventing the LMPP problems based on trend line transformation technique
AU - Liu, Hwa Dong
AU - Lin, Chang Hua
AU - Pai, Kai Jun
AU - Wang, Chien Ming
N1 - Funding Information:
This work was sponsored by the Ministry of Science and Technology, Taiwan, R.O.C. , Project number: MOST 106-2221-E-011-094-MY3 . This work was also financially supported by the Taiwan Building Technology Center from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education in Taiwan .
Publisher Copyright:
© 2020 International Solar Energy Society
PY - 2020/3/1
Y1 - 2020/3/1
N2 - This study realises a new solar-power generation system that can complete the global maximum power point tracking (GMPPT) control under uniform irradiation and partial shading conditions (UIC and PSC, respectively). The microcontroller unit of the proposed system calculates the IGMPP of the photovoltaic (PV) module to accurately execute GMPPT on the basis of the PV module current (Ipv), power (Ppv) and temperature trend line slope (dIpv/dPpv). The microcontroller unit can then confirm whether the PV module suffers from shading according to the slope (dIpv/dPpv) and immediately executes the PSC mode control strategy to calculate the VGMPP of the PV module, thereby accurately tracking the GMPP. Further, the proposed algorithm is compared with the particle swarm optimization (PSO) method, traditional hill-climbing (HC), and perturbation and observation (P&Q) algorithms for MATLAB simulation and actual measurement. These four algorithms firstly use MATLAB to simulate the dynamic response of the solar irradiance level from 1000 W/m2 to 500 W/m2. Then the measured separately under UIC of 1000 W/m2, and measured under PSC of 500 W/m2 and 1000 W/m2, respectively. Finally, all the simulations and experimental results confirm that the proposed algorithm has better GMPPT performance and convergence time than the PSO, the traditional HC, and P&O techniques.
AB - This study realises a new solar-power generation system that can complete the global maximum power point tracking (GMPPT) control under uniform irradiation and partial shading conditions (UIC and PSC, respectively). The microcontroller unit of the proposed system calculates the IGMPP of the photovoltaic (PV) module to accurately execute GMPPT on the basis of the PV module current (Ipv), power (Ppv) and temperature trend line slope (dIpv/dPpv). The microcontroller unit can then confirm whether the PV module suffers from shading according to the slope (dIpv/dPpv) and immediately executes the PSC mode control strategy to calculate the VGMPP of the PV module, thereby accurately tracking the GMPP. Further, the proposed algorithm is compared with the particle swarm optimization (PSO) method, traditional hill-climbing (HC), and perturbation and observation (P&Q) algorithms for MATLAB simulation and actual measurement. These four algorithms firstly use MATLAB to simulate the dynamic response of the solar irradiance level from 1000 W/m2 to 500 W/m2. Then the measured separately under UIC of 1000 W/m2, and measured under PSC of 500 W/m2 and 1000 W/m2, respectively. Finally, all the simulations and experimental results confirm that the proposed algorithm has better GMPPT performance and convergence time than the PSO, the traditional HC, and P&O techniques.
KW - Global maximum power point tracking
KW - Partial shading condition
KW - Uniform irradiation condition
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U2 - 10.1016/j.solener.2020.01.049
DO - 10.1016/j.solener.2020.01.049
M3 - Article
AN - SCOPUS:85078114231
SN - 0038-092X
VL - 198
SP - 53
EP - 67
JO - Solar Energy
JF - Solar Energy
ER -
