TY - GEN
T1 - Minimization of transmission power loss by intelligently tuned interline power flow controller (IPFC)
AU - Al Khabbaz, Mustafa M.
AU - Abido, Mohammed A.
AU - Ali, Mohammed A.
PY - 2013
Y1 - 2013
N2 - Comparison of various intelligent search algorithms in tuning the Interline Power Flow Controller (IPFC) to diminish the transmission losses in a power system network has been investigated in this manuscript. The IPFC belongs to the family of series compensating FACTs devices and has the ability of managing the power flow among multiline transmission systems. It has a voltage source converter (VSC), which can be adjusted to regulate the power flow in a corresponding line. In this work, a study of the capability of IPFC to reduce the transmission losses is established. First, the steady-state model of an electrical power system along with IPFC is developed using MATLAB. Next, the selection of parameters of the IPFC controller is considered as an optimization problem and the parameters are tuned by applying three intelligent search techniques: 1) Biogeography Based Optimization (BBO), 2) Artificial Bee Colony (ABC), and 3) Particle Swarm Optimization (PSO). Finally, the effectiveness of the device in diminishing the line losses is demonstrated.
AB - Comparison of various intelligent search algorithms in tuning the Interline Power Flow Controller (IPFC) to diminish the transmission losses in a power system network has been investigated in this manuscript. The IPFC belongs to the family of series compensating FACTs devices and has the ability of managing the power flow among multiline transmission systems. It has a voltage source converter (VSC), which can be adjusted to regulate the power flow in a corresponding line. In this work, a study of the capability of IPFC to reduce the transmission losses is established. First, the steady-state model of an electrical power system along with IPFC is developed using MATLAB. Next, the selection of parameters of the IPFC controller is considered as an optimization problem and the parameters are tuned by applying three intelligent search techniques: 1) Biogeography Based Optimization (BBO), 2) Artificial Bee Colony (ABC), and 3) Particle Swarm Optimization (PSO). Finally, the effectiveness of the device in diminishing the line losses is demonstrated.
KW - Artificial Bee Colony (ABC)
KW - Biogeography Based Optimization (BBO)
KW - IPFC
KW - Particle Swarm Optimization (PSO)
KW - Transmission line loss
UR - https://www.scopus.com/pages/publications/84883578539
U2 - 10.2316/P.2013.802-039
DO - 10.2316/P.2013.802-039
M3 - Conference contribution
AN - SCOPUS:84883578539
SN - 9780889869561
T3 - Proceedings of the IASTED International Conference on Modelling and Simulation
SP - 177
EP - 184
BT - Proceedings of the IASTED International Conference on Modelling and Simulation, MS 2013
ER -