Damping of low-frequency oscillations and improving power system stability via auto-tuned PI stabilizer using Takagi–Sugeno fuzzy logic

2012 ◽  
Vol 38 (1) ◽  
pp. 72-83 ◽  
Author(s):  
Lokman H. Hassan ◽  
M. Moghavvemi ◽  
Haider A.F. Almurib ◽  
K.M. Muttaqi ◽  
H. Du
Keyword(s):  
Fuzzy Logic ◽  
Power System ◽  
Low Frequency ◽  
Power System Stability ◽  
System Stability ◽  
Low Frequency Oscillations ◽  
Takagi Sugeno

Improvement of Dynamic Electrical Power System Stability Using Riccati Matrix Method

2015 ◽  
Vol 793 ◽  
pp. 29-33 ◽  
Author(s):  
M. Irwanto ◽  
Norfadilah ◽  
N. Gomesh ◽  
M. Irwan ◽  
M.R. Mamat
Keyword(s):  
Power System ◽  
Matrix Method ◽  
Low Frequency ◽  
Power System Stability ◽  
System Stability ◽  
Electrical Power System ◽  
Successful Operation ◽  
Power Utility ◽  
Low Frequency Oscillations ◽  
Riccati Matrix

Power system stability means the ability to develop restoring forces equal to or greater than the disturbing forces to maintain the state of equilibrium. Successful operation of a power system depends largely on providing reliable and uninterrupted service to the loads by the power utility. The stability of the power system is concerned with the behavior of the synchronous machines after they have been disturbed. If the disturbance does not involve any net change in power, the machines should return to their original state. Due to small disturbances, power system experience these poorly damped low frequency oscillations. The dynamic stability of power systems are also affected by these low frequency oscillations. This paper presents to analyze and obtain the optimum gain for damping oscillation in SMIB by using Riccati matrix method to improve dynamic power system stability. The result shows that with suitable gain which is act as a stabilizer that taken from Riccati matrix, the oscillations of rotor speed and rotor angle can be well damped and hence the system stability is enhanced.

Mitigation of low frequency oscillations in power systems based on Mamdani fuzzy inference

2019 ◽  
Vol 41 (12) ◽  
pp. 3477-3489
Author(s):  
Hong-Liang Gao ◽  
Xi-Sheng Zhan ◽  
Yi-Ran Yuan ◽  
Zi-Jie Pan ◽  
Guo-Long Yuan
Keyword(s):  
Power Systems ◽  
Power System ◽  
Control Strategy ◽  
Pid Controller ◽  
Fuzzy Inference ◽  
Low Frequency ◽  
Power System Stability ◽  
System Stability ◽  
Low Frequency Oscillations ◽  
System Stabilizer

Several methods have been proposed and implemented to improve the power system stability. Based on the theory of proportional-integral-derivative (PID) excitation control and the composition principle of fuzzy PID controller, a novel PID controller based on Mamdani fuzzy inference (MFPID) is proposed in this paper. The proposed controller realizes the self-adjustment of the excitation controller parameter. Furthermore, the MFPID and power system stabilizer (PSS) subsection switch control strategy (MFPID-PSS) is presented based on the advantages of PSS and MFPID. In MFPID-PSS strategy, by switching the control strategy between MFPID and PSS at appropriate moment, the MFPID-PSS method acquires the overshoot as small as PSS, and at the same time acquires the adjusting time as short as MFPID. The simulation results demonstrate that the MFPID-PSS method improves the power system stability and has better mitigation effect for low frequency oscillations in power systems after disturbances.

scholarly journals Optimal Location and Design of TCSC controller For Improvement of Stability

2011 ◽  
pp. 210-215
Author(s):  
Swathi Kommamuri ◽  
P. Sureshbabu
Keyword(s):  
Power System ◽  
Optimization Problem ◽  
Low Frequency ◽  
System Stability ◽  
Simulation Environment ◽  
Swarm Optimization ◽  
Stability Performance ◽  
Low Frequency Oscillations ◽  
Simulation Results ◽  
The Stability

Power system stability improvement by a coordinate Design ofThyristor Controlled Series Compensator (TCSC) controller is addressed in this paper.Particle Swarm Optimization (PSO) technique is employed for optimization of the parameterconstrained nonlinear optimization problem implemented in a simulation environment. The proposed controllers are tested on a weakly connected power system. The non-linear simulation results are presented. The eigenvalue analysis and simulation results show the effectiveness and robustness of proposed controllers to improve the stability performance of power system by efficient damping of low frequency oscillations under various disturbances.

Optimal Design of Single Machine Power System Stabilizer using Chemical Reaction Optimization Technique

2015 ◽  
Vol 4 (2) ◽  
pp. 51-69 ◽  
Author(s):  
Sourav Paul ◽  
Provas Kumar Roy
Keyword(s):  
Power System ◽  
Chemical Reaction ◽  
Optimization Technique ◽  
Low Frequency ◽  
Population Based ◽  
System Stability ◽  
Superior Performance ◽  
Chemical Reaction Optimization ◽  
Low Frequency Oscillations ◽  
Reaction Optimization

PSSs are added to excitation systems to enhance the damping during low frequency oscillations. The non-linear model of a machine is linearized at different operating points. Chemical Reaction optimization (CRO), a new population based search algorithm is been proposed in this paper to damp the power system low-frequency oscillations and enhance power system stability. Computation results demonstrate that the proposed algorithm is effective in damping low frequency oscillations as well as improving system dynamic stability. The performance of the proposed algorithm is evaluated for different loading conditions. In addition, the proposed algorithm is more effective and provides superior performance when compared other population based optimization algorithms like differential evolution (DE) and particle swarm optimization (PSO).

Analysis of the Principle and Suppressed Measures of Low Frequency Oscillation in Interconnected Power System

2012 ◽  
Vol 241-244 ◽  
pp. 676-681 ◽  
Author(s):  
Qiu Li Wu ◽  
Xi Cheng ◽  
Jian Cheng Tan
Keyword(s):  
Power System ◽  
Future Development ◽  
Low Frequency ◽  
Power System Stability ◽  
System Stability ◽  
Interconnected Systems ◽  
Frequency Oscillation ◽  
Low Frequency Oscillation ◽  
Interconnected Power System ◽  
The Future

In interconnected systems, the low frequency oscillation becomes an important factor that affects the power system stability and limits power transport. This paper analyses the principle of low frequency oscillation in power system and the measures on suppressed low frequency oscillation, at last discusses the future development.

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