Design of a Robust Nonlinear Controller for a Synchronous Generator to Enhance Transient Stability

Author(s):  
Anoopjyoti Nath ◽  
Nipan Kr. Das
2013 ◽  
Vol 331 ◽  
pp. 307-310
Author(s):  
Yun Bing Wei ◽  
Wei Jie Yang

Establish the practical mathematic model of Synchronous Generator in the static var generator (SVG) of single machine infinite bus power system. Based on Hamiltonian energy theory, the new nonlinear controller is designed between the SVG which is installed in the bus voltage of system and synchronous machine excitation. This controller directly use the energy as the storage function, compared to other nonlinear controllers, this controller has the advantage of the fast stability and the capability of quelling the disturbance. Since the nonlinear control structure retains all in this design, it does not need the linearization, the proposed SVG controller is more robust than linear control method. The simulation results show that the proposed controller can faster meet generator excitation and SVG access point voltage transient stability than conventional PID control when subjected to the three-phase short circuit fault.


Complexity ◽  
2015 ◽  
Vol 21 (5) ◽  
pp. 203-213 ◽  
Author(s):  
Bijan Hashtarkhani ◽  
Mohammad Pourmahmood Aghababa ◽  
Mohammad Javad Khosrowjerdi

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 954
Author(s):  
Nicholas Hawkins ◽  
Michael L. McIntyre

In this paper, a nonlinear backstepping controller is proposed to manage the performance of a full-variable permanent magnet synchronous generator wind turbine. This nonlinear controller achieves a rotational speed objective for the generator and is validated through Lyapunov-based stability analysis. Additionally, this objective is accomplished without a measurement for wind speed that influences the wind torque. The proposed scheme is compared to a typical linear controller through simulation results. Simulation tests are performed to compare the response time and average error of each controller in both a drastic and realistic dynamic wind environment. These results demonstrate that the proposed controller is far more robust to wind turbulence than traditional control schemes. The simulation results of this study indicate a 1000% increase in response time and 3000% decrease in average controller error.


Sign in / Sign up

Export Citation Format

Share Document