Title :
Double-circuit line adaptive protection based on Kohonen neural network considering different operation and switching modes
Author :
Skok, Srdjan ; Marusic, Ante ; Tesnja, Sejid ; Pavic, Ivica
Author_Institution :
Dept. of Power Syst., Fac. of Electr. Eng. & Comput., Zagreb, Croatia
Abstract :
This paper deals with problems connected to the distance protection of double-circuit transmission lines. Because of the zero sequence mutual coupling of parallel circuits, the relay "sees" incorrect impedance. In this paper, the authors develop an adaptive model which solves problems of single-line-to-ground faults on a single line. Different operation modes change short circuit currents (Ik1 - phase-to-earth short circuit current and Ik3 - three-phase short circuit current) on both ends. In fact, the parameters of the active network will be changed. The idea was to develop an adaptive model with different independent Kohonen networks. Each network is trained with short-circuit examples according to the switching mode and operation mode. Input parameters are voltage, current, switching mode and operation mode. The developed adaptive model was tested on a double-circuit 400 kV transmission line.
Keywords :
adaptive control; control system analysis; neurocontrollers; power transmission control; power transmission faults; power transmission lines; power transmission protection; self-organising feature maps; 400 kV; Kohonen neural network; control simulation; double-circuit transmission line adaptive protection; input parameters; operation modes; short circuit currents; single-line-to-ground fault; switching modes; zero sequence mutual coupling; Circuit faults; Distributed parameter circuits; Impedance; Mutual coupling; Neural networks; Protection; Protective relaying; Short circuit currents; Testing; Voltage;
Conference_Titel :
Power Engineering 2002 Large Engineering Systems Conference on, LESCOPE 02
Print_ISBN :
0-7803-7520-3
DOI :
10.1109/LESCPE.2002.1020682