TY - GEN
T1 - Fuzzy-PID Controller on MPPT PV to Stabilize DC Bus Voltage
AU - Kusmantoro, Adhi
AU - Purnomo, Mauridhi Hery
AU - Priyadi, Ardyono
AU - Budiharto Putri, Vita Lystianingrum
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - The energy generated by solar cells varies greatly depending on weather conditions and because the solar energy is changing at any time, the power generated is also changed and not maximum. To achieve high efficiency Maximum Power Point Tracker is used. In this paper we will use fuzzy PID method as MPPT controller on PV. Fuzzy logic is used to optimize the PID in the tracking of the maximum power point, so that the voltage or output power of the boost converter will always be stable. Fuzzy input is power and irradiation, while the output is the change of PID parameters to be used to set the boost converter. In this fuzzy design the intensity of solar energy from 1w / m2 to 1000 w / m2, while the solar cell power capacity from 1watt to 1000 watts and temperature temperature at 25 ° C. From the simulation results on the picture shows that the PID controller produces a larger overshoot when compared to the fuzzy PID controller, the overshoot generated by the PID controller is 15.14 percent with the rise time of 0.043 seconds. While the fuzzy PID controller produces 2.1 percent overshoot with 0.036 second rise time.
AB - The energy generated by solar cells varies greatly depending on weather conditions and because the solar energy is changing at any time, the power generated is also changed and not maximum. To achieve high efficiency Maximum Power Point Tracker is used. In this paper we will use fuzzy PID method as MPPT controller on PV. Fuzzy logic is used to optimize the PID in the tracking of the maximum power point, so that the voltage or output power of the boost converter will always be stable. Fuzzy input is power and irradiation, while the output is the change of PID parameters to be used to set the boost converter. In this fuzzy design the intensity of solar energy from 1w / m2 to 1000 w / m2, while the solar cell power capacity from 1watt to 1000 watts and temperature temperature at 25 ° C. From the simulation results on the picture shows that the PID controller produces a larger overshoot when compared to the fuzzy PID controller, the overshoot generated by the PID controller is 15.14 percent with the rise time of 0.043 seconds. While the fuzzy PID controller produces 2.1 percent overshoot with 0.036 second rise time.
KW - Boost Converter
KW - Fuzzy-PID
KW - MPPT
UR - http://www.scopus.com/inward/record.url?scp=85086301430&partnerID=8YFLogxK
U2 - 10.1109/IEEECONF48524.2019.9102618
DO - 10.1109/IEEECONF48524.2019.9102618
M3 - Conference contribution
AN - SCOPUS:85086301430
T3 - 2019 International Conference on Technologies and Policies in Electric Power and Energy, TPEPE 2019
BT - 2019 International Conference on Technologies and Policies in Electric Power and Energy, TPEPE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 International Conference on Technologies and Policies in Electric Power and Energy, TPEPE 2019
Y2 - 21 October 2019 through 22 October 2019
ER -
