Title :
Atificial neural network application for control of STATCOM in power systems for both voltage control mode and reactive power mode
Author :
Sumathi, S. ; Bansilal
Author_Institution :
Dept. of Electr. & Electron., RNSIT, Bengaluru, India
Abstract :
Power system voltage control and voltage stability are emerging as major problems in the day-to-day operation of stressed power systems. STATCOM is an important voltage source converter FACTS device, which can be used in voltage control mode or reactive power injection mode. For stable operation and control of power systems it is essential to provide real time solution to the operator in energy control centers. Artificial neural networks are an important artificial intelligence tool, which gives fast and acceptable solution in real time. This paper deals with development of ANN architecture which provides solution for bus voltage control and reactive power control in the day to day operation of power systems.
Keywords :
neurocontrollers; power system stability; reactive power control; static VAr compensators; voltage control; STATCOM; artificial neural networks; energy control centers; power system voltage control; reactive power injection mode; voltage control mode; voltage stability; Artificial neural networks; Automatic voltage control; Control systems; Neural networks; Power system control; Power system stability; Power systems; Reactive power control; Real time systems; Voltage control; Artificial Neural networks; L-index; STATCOM;
Conference_Titel :
Power Systems, 2009. ICPS '09. International Conference on
Conference_Location :
Kharagpur
Print_ISBN :
978-1-4244-4330-7
Electronic_ISBN :
978-1-4244-4331-4
DOI :
10.1109/ICPWS.2009.5442763
