Design of a Nonlinear Excitation Controller for Single Machine Infinite Bus Power Systems to Improve the Transient Stability

2021 ◽  
Author(s):  
Tasnim Sarker Joyeeta ◽  
Tushar Kanti Roy ◽  
Md. Rafiqul Islam Sheikh
Keyword(s):  
Power Systems ◽  
Single Machine ◽  
Transient Stability ◽  
Nonlinear Excitation ◽  
Single Machine Infinite Bus

Design of a New Nonlinear Excitation Controller Combined Differential Geometry with PID Theory

2012 ◽  
Vol 588-589 ◽  
pp. 1507-1511
Author(s):  
Xiao Juan Sun
Keyword(s):  
Differential Geometry ◽  
Single Machine ◽  
Feedback Linearization ◽  
Transient Stability ◽  
Infinite System ◽  
System Simulation ◽  
Control Effect ◽  
Nonlinear Excitation ◽  
Terminal Voltage ◽  
Simulation Results

This paper presents a nonlinear excitation controller for transient stability combined differential geometry theory with PID technology. The controller ties the output of linear multi-variable excitation controller with the output of PID. Exact feedback linearization theory of differential geometry is applied to the design of linear multi-variable excitation controller for the single machine infinite system. Simulation results show that, compared with the general differential geometric controller, the proposed controller has the better control effect on power system and which remarkably improves the terminal voltage deficiencies in the control of generator.

Chaotic dynamics for a class of single-machine-infinite bus power system

2016 ◽  
Vol 24 (3) ◽  
pp. 582-587 ◽  
Author(s):  
Liangqiang Zhou ◽  
Fangqi Chen
Keyword(s):  
Power Systems ◽  
Power System ◽  
Single Machine ◽  
Chaotic Dynamics ◽  
Numerical Results ◽  
Chaotic Motions ◽  
System Parameters ◽  
Critical Curves ◽  
Single Machine Infinite Bus

The chaotic motions are investigated both analytically and numerically for a class of single-machine-infinite bus power systems. The mechanism and parametric conditions for chaotic motions of this system are obtained rigorously. The critical curves separating the chaotic and non-chaotic regions are presented. The chaotic feature of the system parameters is discussed in detail. It is shown that there exist chaotic bands for this system, and the bands vary with the system parameters. Some new dynamical phenomena are presented. Numerical results are given, which verify the analytical ones.

Robust Fractional Order Proportional, Integral and Derivative Stabilizer for Power Systems

2016 ◽  
Vol 1 (1) ◽  
pp. 38 ◽  
Author(s):  
Magdy A.S. Aboelela ◽  
Hisham M. Soliman
Keyword(s):  
Genetic Algorithm ◽  
Fractional Calculus ◽  
Power Systems ◽  
Fractional Order ◽  
Single Machine ◽  
Robust Stabilization ◽  
Degree Of Stability ◽  
Single Machine Infinite Bus ◽  
Fractional Order Pid ◽  
Lower Limits

This paper focuses on the application of a robust Fractional Order PID (FOPID) stabilizer tuned by Genetic Algorithm (GA). The system’s robustness is assured through the application of Kharitonov’s theorem to overcome the effect of system parameter’s changes within upper and lower limits. The FOPID stabilizer has been approximated during the optimization using the Oustaloup’s approximation for fractional calculus and using the “nipid” toolbox of Matlab during simulation. The objective is to keep robust stabilization with maximum achievable degree of stability against system's uncertainty. This optimization will be achieved with the proper choice of the FOPID stabilizer’s parameters (kp, ki, kd, l, and d) as discussed later in this article. The optimization has been done using the GA which limits the boundaries of the tuned parameters within the permissible region. The calculations have been applied to a single machine infinite bus (SMIB)power system using Matlab and Simulink. The results show superior behavior of the proposed stabilizer over the traditional PID.

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