TY - GEN
T1 - Maximum power point tracking of photovoltaic system using adaptive modified firefly algorithm
AU - Windarko, Novie Ayub
AU - Tjahjono, Anang
AU - Anggriawan, Dimas Okky
AU - Purnomo, Mauridhi Hery
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/1/12
Y1 - 2016/1/12
N2 - A photovoltaic (PV) module is an important source in distributed generation due to low maintenance cost, low operational cost and eco-friendly. Tracking the maximum power point (MPP) of a PV module has been a hot issue to increase energy production. Maximum power point tracking (MPPT) methods based on nature inspired algorithm such as firefly algorithm (FA) has been proposed to track the MPP. However, the problem the FA method is required long time to reach convergence. Therefore, this paper proposes an adaptive modified firefly algorithm (AMFA) to tracking faster the MPP for convergence. The proposed method is implemented on a buck converter. To evaluate the algorithm, the proposed method is compared with FA and modified FA (MFA). The proposed method is verified by PSIM simulator. The results show that the proposed method can accurately track the MPP and improve the performance of FA in tracking speed for convergence.
AB - A photovoltaic (PV) module is an important source in distributed generation due to low maintenance cost, low operational cost and eco-friendly. Tracking the maximum power point (MPP) of a PV module has been a hot issue to increase energy production. Maximum power point tracking (MPPT) methods based on nature inspired algorithm such as firefly algorithm (FA) has been proposed to track the MPP. However, the problem the FA method is required long time to reach convergence. Therefore, this paper proposes an adaptive modified firefly algorithm (AMFA) to tracking faster the MPP for convergence. The proposed method is implemented on a buck converter. To evaluate the algorithm, the proposed method is compared with FA and modified FA (MFA). The proposed method is verified by PSIM simulator. The results show that the proposed method can accurately track the MPP and improve the performance of FA in tracking speed for convergence.
KW - Adaptive modified firefly algorithm (AMFA)
KW - DC-DC buck converter
KW - Maximum power point tracking (MPPT)
KW - Photovoltaic (PV) module
UR - http://www.scopus.com/inward/record.url?scp=84970028660&partnerID=8YFLogxK
U2 - 10.1109/ELECSYM.2015.7380809
DO - 10.1109/ELECSYM.2015.7380809
M3 - Conference contribution
AN - SCOPUS:84970028660
T3 - Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015
SP - 31
EP - 35
BT - Proceedings - 2015 International Electronics Symposium
A2 - Hermawan, Hendhi
A2 - Zainudin, Ahmad
A2 - Nugraha, Syechu Dwitya
A2 - Tridianto, Erik
A2 - Briantoro, Hendy
A2 - Permatasari, Desy Intan
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th International Electronics Symposium, IES 2015
Y2 - 29 September 2015 through 30 September 2015
ER -