Ann-based Pss Design for Reactive Power Regulation Using Synchronous Condenser

Open Access
Author:
Hatatah, Mohammed Abdullah
Graduate Program:
Electrical Engineering
Degree:
Master of Science
Document Type:
Master Thesis
Date of Defense:
April 24, 2015
Committee Members:
  • Peter Idowu, Thesis Advisor
Keywords:
  • Synchronous Condenser
  • Power System Stabilizer
  • Artificial Neural Network
Abstract:
The behavior of the electric system requires a balanced operation between resources and customer demand including various electrical losses. As loads change, the reactive power requirements of the power system change. Since the reactive power cannot be transferred over long distances, voltage control has to be affected by using special equipment to keep sufficient levels of voltage in the power system network. The right selection of equipment for controlling reactive power and voltage stability are among the major challenges of system engineering. With today’s modern equipment designs and the modern control techniques, it is appropriate to again examine synchronous condensers as a reactive power solution. A synchronous condenser can work and support the system with an effective reactive power under low voltage conditions. In addition, it can raise the short circuit level of the system. Stabilization is one of the most significant aspects in power system dynamics. The power system stabilizer (PSS) has become the primary means for supplying supplementary excitation signals to regulate reactive power delivery. In this thesis, the artificial neural network (ANN) was used to create a power system stabilizer. A three-layer feed-forward neural network PSS (FNNPSS) was employed. The back-propagation algorithm was used for the purpose of training. The main contribution of the control scheme is that it can improve the learning process by using the generalization property of the ANN. The test system (IEEE 9-bus) and the ANN-based PSS synchronous condenser were simulated in the MATLAB/SIMULINK environment. Results revealed that a system with ANN-based PSS can stabilize the system under various parameters in the power system.