The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL
Transactions ID Number: 53-390
Full Name: Ragab Amer
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: Fac. of Engineering, Minoufiya university, shebin el-Kom
Country: EGYPT
Tel:
Tel prefix:
Fax:
E-mail address: ragaba7med@yahoo.com
Other E-mails:
Title of the Paper: SCG Stability Enhancement Using STATCOM Based-ANN Controller
Authors as they appear in the Paper: R. A. Amer, G. A. Morsy and H. A. Yassin
Email addresses of all the authors:
Number of paper pages: 14
Abstract: Artificial neural network (ANN) control of static compensator (STATCOM) to improve the damping of power systems is presented. The proposed control strategy is applied on a STATCOM attached to a single machine-infinite bus (SMIB) and a multi-machine power systems that include a superconducting generator (SCG). The proposed control method, ANN-STATCOM is designed based on proportional integral derivative (PID) by means of minimization of the system's deviations. The damping provided by the ANN-STATCOM controller is compared with a fixed-parameter PID-STATCOM controller. In view of power systems control, various conventional types of control systems are employed such as PID controller for SCG and power system stabilizers (PSSs) for conventional units. The simulation results demonstrate the effectiveness of the proposed ANN-STATCOM controller in stabilizing the power systems performance for various disturbances at multiple operating points.
Keywords: Power system control, Superconducting generator, Static compensator, ANN control
EXTENSION of the file: .pdf
Special (Invited) Session:
Organizer of the Session:
How Did you learn about congress: control of power system, Artificial neural network, Modelling, FACTS.
IP ADDRESS: 41.199.42.165
