TY  - JOUR
PB  - ScientificWorld Ltd.
SN  - 1537744X
Y1  - 2013///
VL  - 2013
A1  - Le Dinh, L.
A1  - Vo Ngoc, D.
A1  - Vasant, P.
JF  - The Scientific World Journal
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84896264609&doi=10.1155%2f2013%2f159040&partnerID=40&md5=20fba859421c8390edfbb39beeae5034
AV  - none
TI  - Artificial bee colony algorithm for solving optimal power flow problem
ID  - scholars3869
KW  - algorithm; analytic method; article; artificial bee colony; bee; comparative study; cost minimization analysis; electrical potential parameters; flow; flow kinetics; foraging behavior; generator; honeybee; nonhuman; optimal power flow; organism colony; power supply; problem solving; process optimization; algorithm; power supply; theoretical model
KW  -  Algorithms; Electric Power Supplies; Models
KW  -  Theoretical
N1  - cited By 37
N2  - This paper proposes an artificial bee colony (ABC) algorithm for solving optimal power flow (OPF) problem. The objective of the OPF problem is to minimize total cost of thermal units while satisfying the unit and system constraints such as generator capacity limits, power balance, line flow limits, bus voltages limits, and transformer tap settings limits. The ABC algorithm is an optimization method inspired from the foraging behavior of honey bees. The proposed algorithm has been tested on the IEEE 30-bus, 57-bus, and 118-bus systems. The numerical results have indicated that the proposed algorithm can find high quality solution for the problem in a fast manner via the result comparisons with other methods in the literature. Therefore, the proposed ABC algorithm can be a favorable method for solving the OPF problem. © 2013 Luong Le Dinh et al.
ER  -