Title :
Online estimation and control of voltage flicker using neural network
Author :
Srivastava, S. ; Preeti, K.S. ; Sharma, Divy Jyoti ; Gupta, M.
Author_Institution :
Dept. of Instrum. & Control, Netaji Subhas Inst. Of Technol., New Delhi, India
Abstract :
This paper deals with the design, analysis and simulation of an online voltage envelope estimator and an online feed-forward neural network (FFNN) controller based distributed static compensator (DSTATCOM) controller. Existing controllers such as PI controller and offline neural network controller are fixed structures and provide satisfactory control only for certain problems for which they are designed. The online neural controller is an error correction system, designed to give better voltage control-let it be voltage sag or flicker. In order to test the system, an electric arc furnace model is developed and is used as a load. A novel voltage control technique for on line tracking of voltage envelope and controllers to generate reference current values in DSTATCOM using neural network is developed. Simulated results show better flicker mitigation as compared to traditional PI controllers.
Keywords :
PI control; arc furnaces; error correction; feedforward neural nets; neurocontrollers; static VAr compensators; voltage control; DSTATCOM controller; PI controller; distributed static compensator; electric arc furnace model; error correction system; neural network; offline neural network controller; online estimation; online feedforward neural network; voltage flicker control; voltage sag; Analytical models; Control systems; Distributed control; Error correction; Feedforward neural networks; Feedforward systems; Neural networks; STATCOM; Voltage control; Voltage fluctuations; Arc Furnace; DSTATCOM; Estimation; Voltage flicker;
Conference_Titel :
TENCON 2009 - 2009 IEEE Region 10 Conference
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-4546-2
Electronic_ISBN :
978-1-4244-4547-9
DOI :
10.1109/TENCON.2009.5396067
