Parameter tuning of power system stabilizer using eigenvalue sensitivity

Sumina, Damir; Bulić, Neven; Mišković, Mato

doi:10.1016/j.epsr.2011.07.016

Cited by 27 publications

(12 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The eigenvalues (A) of the state matrix are given by the solutions of the characteristic equation of the state matrix A. It is defined by [1,9,10,11 ]:…”

Section: A Eigenvaluesmentioning

confidence: 99%

Small signal stability of the Tunisian interconnected power system

Salah

Djebali

Kahouli

et al. 2014

2014 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)

View full text Add to dashboard Cite

this article is to study the static stability of Tunisian electrical network face to many current technical constraints to maintain the security of the entire system power. In this context, we present a study based on the modal analysis of the linearized system. This study allows us to determine the optimum location of power regulators PSS iniected at the input of voltage regulator A VR based on a matrix called "participation". The regulators method residues perform the calculation of these parameters.K�ord5-the static stability of Tunisian electrical network, PSS, A VR, method residues.

show abstract

“…The eigenvalues (A) of the state matrix are given by the solutions of the characteristic equation of the state matrix A. It is defined by [1,9,10,11 ]:…”

Section: A Eigenvaluesmentioning

confidence: 99%

Small signal stability of the Tunisian interconnected power system

Salah

Djebali

Kahouli

et al. 2014

2014 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)

View full text Add to dashboard Cite

show abstract

“…Other notable methods include Hilbert‐Huang transform method, and Recursive Maximum Likelihood method . The application of these methods was evaluated in several articles including in the design of controller, PSS, and transient stability and voltage stability …”

Section: Introductionmentioning

confidence: 99%

“…20 The application of these methods was evaluated in several articles including in the design of controller, PSS, and transient stability and voltage stability. [21][22][23] Various methods have been presented to design the PSS, and many control strategies have been proposed based on modeling of systems consisting of optimal, robust, and adaptive controls and LMI and H∞ approaches. 16 However, with advances in satellite receiver technology and the methods of signal processing and optimization, the use of measurement-based methods, especially in large power systems, have been more widely considered.…”

Section: Introductionmentioning

confidence: 99%

A combined approach for power system stabilizer design using continuous wavelet transform and SQP algorithm

Faraji

Naghshbandy

2018

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary Operation and control of large‐scale power systems is a complex task. Since the primary purpose of power system stabilizer (PSS) units is damping of local and interarea modes, identification of network electromechanical oscillatory modes for designing PSS is very important. In this research, continuous wavelet transform (CWT) was used to study low‐frequency electromechanical oscillations of power systems. The complex Morlet mother wavelet and guidelines for the selection of center frequency, bandwidth parameters, and scaling factor were used to estimate reliable modal specifications of the power system. After estimation of power system modes, the Prony method was used to identify the transfer function residue. Thus, the parameters of PSS were calculated by the residual method. In order to improve damping and meet the constraints of the proposed PSS parameters, the sequential quadratic programming algorithm was used as an optimization method. Finally, with the help of MATLAB and PST softwares, modes estimation methods and the proposed controller design approach was simulated on the two known test case systems, IEEE two‐area, four‐generator and 68‐bus, 16‐Gen test cases. The simulation results show efficacy and good performance of the proposed PSS design method to improve damping and small signal stability of the systems.

show abstract

“…In addition to the main original PSO program, additional m-file was designed based on the state-space of the linearization model to get the Eigen-values of the system. Objective functions are used to increase the system damping, by shifting all eigenvalues to the left side of the S-plane, that happened by either using 1 J to minimizing the settling time of the dominant Eigen-value or using 2 J to maximizing the damping ratio of the dominant Eigen-value. The Eigen-value based objective functions are based as follow:…”

Section: T Tmentioning

confidence: 99%

“…Power system can reach stressed conditions due to the need for operating closer to their stability limits [1,2].…”

Section: Introductionmentioning

confidence: 99%

Modified Particle Swarm Optimization Based Proportional-Derivative Power System Stabilizer

Ibrahim¹,

Attia²,

Talaat

et al. 2015

IJISA

View full text Add to dashboard Cite

Abstract-During a change in operating condition, oscillations of small magnitude and low frequency often persist for long periods of time and in some cases even present limitations on power transfer capability. Generators in power systems are equipped with automatic voltage regulator (AVR) to control terminal voltage. It is known that AVR has a detrimental impact upon the dynamic stability of the power system. Power system stabilizers (PSS) are widely used to generate supplementary control signals for the excitation system in order to damp out low-frequency oscillations (LFOs). In this paper proportionalderivative power system stabilizer (PD-PSS) used to damping LFO after tuning the gains of the PSS by using PSO. The damping boundary condition of PSO technique is modified to improve its performance in the tuning and optimization process. Simulation studies performed on a typical single-machine infinite-bus (SMIB) system used in MATLAB Simulink program. Assessing the performance of the proposed modified PSO based PD-PSS with Speed deviation (∆ω) as an input signal using eigenvalue analysis. The proposed PSO based PD-PSS is evaluated and examined under different operating conditions and inertia constant each one of them applied with two test cases small disturbance and short circuit. A comparative study between the proposed PSO based PD-PSS, original PSO based PD-PSS, and lead-lag PSS is done in this work. The results ensure the superiority, the effectiveness, and the robustness of the proposed PSS over the other techniques.

show abstract

Parameter tuning of power system stabilizer using eigenvalue sensitivity

Cited by 27 publications

References 24 publications

Small signal stability of the Tunisian interconnected power system

Small signal stability of the Tunisian interconnected power system

A combined approach for power system stabilizer design using continuous wavelet transform and SQP algorithm

Modified Particle Swarm Optimization Based Proportional-Derivative Power System Stabilizer

Contact Info

Product

Resources

About