TY - GEN
T1 - Maximum power point tracking algorithm for photovoltaic system under partial shaded condition by means updating β firefly technique
AU - Safarudin, Yanuar Mahfudz
AU - Priyadi, Ardyono
AU - Purnomo, Mauridhi Hery
AU - Pujiantara, Margo
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/1/12
Y1 - 2014/1/12
N2 - This paper proposes new Simplified Firefly Algorithm (SFA) with an updated β coefficient to maximum power point tracking (MPPT) of photovoltaic system under partial shading condition. The different from standard firefly algorithm is neglected a and y coefficients to simplify an algorithm. The other new feature is updated β coefficient for each iteration step in order to achieve faster convergence. This proposed algorithm is to obtain the optimal solution for MPPT of PV system under three shaded conditions. The simulation results are compared with traditional Perturbation and Observation (P&O) and standard Firefly Algorithm (FA) to verify the proposed method performance. Highest maximum powers and efficiencies are produced by the proposed algorithm. The ripple in steady state condition is also better than P&O and standard FA. The main advantage of proposed algorithm is simpler and faster convergence yet still accurate compared to standard firefly.
AB - This paper proposes new Simplified Firefly Algorithm (SFA) with an updated β coefficient to maximum power point tracking (MPPT) of photovoltaic system under partial shading condition. The different from standard firefly algorithm is neglected a and y coefficients to simplify an algorithm. The other new feature is updated β coefficient for each iteration step in order to achieve faster convergence. This proposed algorithm is to obtain the optimal solution for MPPT of PV system under three shaded conditions. The simulation results are compared with traditional Perturbation and Observation (P&O) and standard Firefly Algorithm (FA) to verify the proposed method performance. Highest maximum powers and efficiencies are produced by the proposed algorithm. The ripple in steady state condition is also better than P&O and standard FA. The main advantage of proposed algorithm is simpler and faster convergence yet still accurate compared to standard firefly.
KW - Firefly Algorithm (FA)
KW - Maximum Power-Point Tracking (MPPT)
KW - Partial shaded condition (PSC)
KW - Photovoltaik (PV) systems
KW - Simplified Firefly Algorithm (SFA)
UR - http://www.scopus.com/inward/record.url?scp=84922831187&partnerID=8YFLogxK
U2 - 10.1109/ICITEED.2014.7007942
DO - 10.1109/ICITEED.2014.7007942
M3 - Conference contribution
AN - SCOPUS:84922831187
T3 - Proceedings - 2014 6th International Conference on Information Technology and Electrical Engineering: Leveraging Research and Technology Through University-Industry Collaboration, ICITEE 2014
BT - Proceedings - 2014 6th International Conference on Information Technology and Electrical Engineering
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Information Technology and Electrical Engineering, ICITEE 2014
Y2 - 7 October 2014 through 8 October 2014
ER -