Title :
Development of neural network based HVDC controller for transient stability enhancement of AC/DC system
Author :
Kulkarni, Ishan ; Dash, Suryalok
Author_Institution :
Dept. of Electr. & Electron. Eng., NIT-Warangal, Warangal, India
Abstract :
In this paper, investigation is carried out for the improvement of power system stability by utilizing auxiliary controls for controlling HVDC power flow. The current controller model and the line dynamics are considered in the stability analysis. Transient stability analysis is done on a multi-machine system, where, a neural network controller is developed to improve the stability of the power system. The Neural Network also improves response time of the controller to the changing conditions in power system. The results show the application of the neural network controller in AC-DC power systems.
Keywords :
AC-DC power convertors; HVDC power transmission; electric current control; neurocontrollers; power control; power system stability; power transmission control; AC-DC system; HVDC power flow control; HVDC power transmission system; auxiliary controls; current controller model; line dynamics; multimachine system; neural network based HVDC controller development; power system stability improvement; response time improvement; transient stability analysis; transient stability enhancement; Artificial neural networks; Generators; HVDC transmission; Power system stability; Stability analysis; Training; Transient analysis; Artificial Neural Network; HVDC; multi-machine stability; power system stability;
Conference_Titel :
Electrical, Electronics and Computer Science (SCEECS), 2012 IEEE Students' Conference on
Conference_Location :
Bhopal
Print_ISBN :
978-1-4673-1516-6
DOI :
10.1109/SCEECS.2012.6184787
