TY - GEN
T1 - Smart solar tracking system based on fuzzy-PI controller for maximizing the power of PV
AU - Abadi, Imam
AU - Imran, Chairul
AU - Fasa, Nadia
N1 - Publisher Copyright:
© 2019 American Institute of Physics Inc. All rights reserved.
PY - 2019/3/29
Y1 - 2019/3/29
N2 - Solar energy is a potential renewable energy to be developed as an alternative energy due to its abundant availability and environmentally friendly. Indonesia, as a tropical country has a very large intensity of solar irradiance and evenly distributed throughout region. However, the energy has not been optimally utilized because the existing technology today cannot significantly improve the efficiency of solar panels especially in terms of material technology. Nowaday, researchers have developed a technology capable of improving the performance of solar panels through solar tracking mechanisms. Solar tracker is a combination of electrical and mechanical systems that can move a solar panel to locate the position of the sun. The solar tracker system is expected to enhance the output power of solar panel (PV) because the intensity of solar radiation received is always maximum. Generally, solar tracking system has been operated on fix-based, so its usage has been limited to stationary objects. In this research has been proposed a smart solar tracking system-based PV panel on mobile object to investigate the enhanced power generated by PV. Meanwhile, this study implemented fuzzy logic system-based PI Controller. Fuzzy system used to tune desired PI gain in such a way that it will improve the performance of PI controller. There are two membership function (MF) schemes used, ie using 3 and 5 MF. The simulation results show that the best response of system was reached when fuzzy PI controller was 5 membership numbers with performance index parameters including the rise time (tr) 0.61 second, settling time (ts) 5.18 seconds, maximum overshoot 3.18% and steady state error (ess) 0.45%. The increased power generated by the PV panel based on smart solar tracking system placed on top of the car for a month is 52.37% as compared to fixed PV.
AB - Solar energy is a potential renewable energy to be developed as an alternative energy due to its abundant availability and environmentally friendly. Indonesia, as a tropical country has a very large intensity of solar irradiance and evenly distributed throughout region. However, the energy has not been optimally utilized because the existing technology today cannot significantly improve the efficiency of solar panels especially in terms of material technology. Nowaday, researchers have developed a technology capable of improving the performance of solar panels through solar tracking mechanisms. Solar tracker is a combination of electrical and mechanical systems that can move a solar panel to locate the position of the sun. The solar tracker system is expected to enhance the output power of solar panel (PV) because the intensity of solar radiation received is always maximum. Generally, solar tracking system has been operated on fix-based, so its usage has been limited to stationary objects. In this research has been proposed a smart solar tracking system-based PV panel on mobile object to investigate the enhanced power generated by PV. Meanwhile, this study implemented fuzzy logic system-based PI Controller. Fuzzy system used to tune desired PI gain in such a way that it will improve the performance of PI controller. There are two membership function (MF) schemes used, ie using 3 and 5 MF. The simulation results show that the best response of system was reached when fuzzy PI controller was 5 membership numbers with performance index parameters including the rise time (tr) 0.61 second, settling time (ts) 5.18 seconds, maximum overshoot 3.18% and steady state error (ess) 0.45%. The increased power generated by the PV panel based on smart solar tracking system placed on top of the car for a month is 52.37% as compared to fixed PV.
UR - http://www.scopus.com/inward/record.url?scp=85064399335&partnerID=8YFLogxK
U2 - 10.1063/1.5095274
DO - 10.1063/1.5095274
M3 - Conference contribution
AN - SCOPUS:85064399335
T3 - AIP Conference Proceedings
BT - Advanced Industrial Technology in Engineering Physics
A2 - Hatta, Agus Muhamad
A2 - Indriawati, Katherin
A2 - Nugroho, Gunawan
A2 - Biyanto, Totok Ruki
A2 - Arifianto, Dhany
A2 - Risanti, Doty Dewi
A2 - Irawan, Sonny
PB - American Institute of Physics Inc.
T2 - 2nd Engineering Physics International Conference 2018, EPIC 2018
Y2 - 31 October 2018 through 2 November 2018
ER -
