TY - GEN
T1 - Optimal battery placement in photovoltaic based distributed generation using binary firefly algorithm for voltage rise mitigation
AU - Ai, Wong Ling
AU - Shareef, Hussain
AU - Ibrahim, Ahmad Asrul
AU - Mohamed, Azah
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/3/17
Y1 - 2014/3/17
N2 - This paper presents the application of binary firefly algorithm (BFA) in obtaining the optimal location of battery energy storage systems (BESS) in photovoltaic generation integrated radial distribution network in order to mitigate the voltage rise problem. The optimization process aims to obtain the optimal location by minimizing the voltage deviation of the PVDG bus. A BESS placement (BP) vector is used in deciding the location of BESS in each optimization and the optimization process is repeated in order to obtain the optimal BESS location. The effectiveness of the proposed method is validated by applying the algorithm to the 69-bus distribution system and the result shows that BFA is efficient in obtaining the optimal placement of BESS.
AB - This paper presents the application of binary firefly algorithm (BFA) in obtaining the optimal location of battery energy storage systems (BESS) in photovoltaic generation integrated radial distribution network in order to mitigate the voltage rise problem. The optimization process aims to obtain the optimal location by minimizing the voltage deviation of the PVDG bus. A BESS placement (BP) vector is used in deciding the location of BESS in each optimization and the optimization process is repeated in order to obtain the optimal BESS location. The effectiveness of the proposed method is validated by applying the algorithm to the 69-bus distribution system and the result shows that BFA is efficient in obtaining the optimal placement of BESS.
KW - BFA
KW - PVDG
KW - optimal BESS placement
UR - http://www.scopus.com/inward/record.url?scp=84946685440&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946685440&partnerID=8YFLogxK
U2 - 10.1109/PECON.2014.7062432
DO - 10.1109/PECON.2014.7062432
M3 - Conference contribution
AN - SCOPUS:84946685440
T3 - Conference Proceeding - 2014 IEEE International Conference on Power and Energy, PECon 2014
SP - 155
EP - 158
BT - Conference Proceeding - 2014 IEEE International Conference on Power and Energy, PECon 2014
A2 - Muhamad, Mohd Izhwan
A2 - Seroji, Mohammad Nawawi
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Power and Energy, PECon 2014
Y2 - 1 December 2014 through 3 December 2014
ER -