Title :
Improved ANN αth-order inverse TCSC controller for enhancing power system transient stability
Author :
Dai, X.Z. ; He, D. ; Fan, L.-L. ; Li, N.H. ; Chen, H.
Author_Institution :
Dept. of Autom. Control Eng., Southeast Univ., Nanjing, China
fDate :
11/1/1999 12:00:00 AM
Abstract :
The paper focuses on studying an improved structure of ANN αth-order inverse, and its application as a TCSC controller in a real power system, consisting of 49 equivalent buses and 19 equivalent machines, to increase its transient stability. The ANN αth-order inverse, consisting of a single static ANN and a number of integrators, is used to eliminate the nonlinearities of the power system. An additional linear feedback controller is designed to enhance the stability of the linearised system. With almost the same structure (but different weights of ANN), this controller is first used to control a single-machine infinite-bus system and then the real multimachine system. The satisfactory simulation results show that such a control strategy has a promising future
Keywords :
compensation; feedback; neural nets; power system analysis computing; power system control; power system transient stability; thyristor applications; ANN αth-order inverse TCSC controller; FACTS; equivalent buses; equivalent machines; integrators; linear feedback controller; power system nonlinearities elimination; power system transient stability enhancement; real multimachine system; real power system; single static ANN; single-machine infinite-bus system; thyristor controlled series compensation;
Journal_Title :
Generation, Transmission and Distribution, IEE Proceedings-
DOI :
10.1049/ip-gtd:19990424