design of a new ipfc-based damping neurocontrol for enhancing stability of a power system using particle swarm optimization

the interline power flow controller (ipfc) is a concept of the facts controller for series compensation which can inject a voltage with controllable magnitude and phase angle among multi lines. this paper proposes a novel ipfc-based damping neuro-control scheme using pso for damping oscil la t i o ns in a power system to improve power system stability. the add i tion of a supplementary controller to the ipfc main control can provide effective damping to the low frequency oscil l a tion on the heavily loaded tie lines of interconnected power systems. however, the conventional controller designed based on a linea ri z ed model cannot provide satisfactory performance over a wide ra nge of operation point and under large disturbances.the interline power flow controller (ipfc) is a concept of the facts controller for series compensation which can inject a voltage with controllable magnitude and phase angle among multi lines. this paper proposes a novel ipfc-based damping neuro-control scheme using pso for damping oscil la t i o ns in a power system to improve power system stability.