Robust pole placement stabilizer design using linear matrix inequalities

Rao, P. Krishna; Sen, Indraneel

doi:10.1109/59.852138

Cited by 159 publications

(83 citation statements)

References 4 publications

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“…The most common methods are based on the pole placement method [13,14], eigenvalues sensitivities [15,16], residue compensation [17], and also the current control theory.…”

Section: Introductionmentioning

confidence: 99%

Transient Stability Analysis of Power System by Coordinated PSS-AVR Design Based on PSO Technique

Falehi¹,

Rostami²,

Mehrjadi³

2011

ENG

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In this paper, Power System Stabilizer (PSS) and Automatic Voltage Regulator (AVR) are coordinated to improve the transient stability of generator in power system. Coordinated design problem of AVR and PSS is formulated as an optimization problem. Particle Swarm Optimization (PSO) technique is an advanced robust search method by the swarming or cooperative behavior of biological populations mechanism. The performance of PSO has been certified in solution of highly non-linear objectives. Thus, PSO technique has been employed to optimize the parameters of PSS and AVR in order to reduce the power system oscillations during the load changing conditions in single-machine, infinite-bus power system. The results of nonlinear simulation suggest that, by coordinated design of AVR and PSS based on PSO technique power system oscillations are exceptionally damped. Correspondingly, it's shown that power system stability is superiorly enhanced than the uncoordinated designed of the PSS and the AVR controllers.

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“…The most common methods are based on the pole placement method [13,14], eigenvalues sensitivities [15,16], residue compensation [17], and also the current control theory.…”

Section: Introductionmentioning

confidence: 99%

Transient Stability Analysis of Power System by Coordinated PSS-AVR Design Based on PSO Technique

Falehi¹,

Rostami²,

Mehrjadi³

2011

ENG

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“…In order to increase the damping of the power system response, classical controllers can be used which are usually designed for an operating point. If a phase lead transfer function is used in control mechanism, a conventional PSS is achieved [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. Since the PSS is designed for one operational point, it has good performance only in the designed operating condition and it should be redesigned to achieve good performance in the other operational points.…”

Section: Introductionmentioning

confidence: 99%

“…Since in adaptive PSS, an identification mechanism is required to adapt the PSS parameters, the complexity of online controller computations will increase [3]. In contrast, in the robust PSS, a fixed controller for different operational points is designed [4][5][6][7][8][9][10][11][12][13][14][15] which makes it more convenient than adaptive PSS.…”

Section: Introductionmentioning

confidence: 99%

“…The Hefferon-Philips model is one of these power system linear models [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. The studies on linear system show that the system response has not enough damping ratio and it might be unstable in some operating points [1][2][3][4][5][6][7][8]. In order to increase the damping of the power system response, classical controllers can be used which are usually designed for an operating point.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the desired PSS should stabilize the power system in all operational points; ie, it should be robust against the changes in the operational conditions. Adaptive control [3] and robust control strategies [4][5][6][7][8][9][10][11][12][13][14][15] are two main methods for solving this problem in power system which have been led to adaptive PSS and robust PSS designs respectively. Since in adaptive PSS, an identification mechanism is required to adapt the PSS parameters, the complexity of online controller computations will increase [3].…”

Section: Introductionmentioning

confidence: 99%

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A Wide Range Robust PSS Design Based on Power System Pole-Placement Using Linear Matrix Inequality

Ataei¹,

Hooshmand²,

Parastegari³

2012

Journal of Electrical Engineering

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In this paper, a new method for robust PSS design based on the power system pole placement is presented. In this stabilizer, a feedback gain matrix is used as a controller. The controller design is proposed by formulating the problem of robust stability in a Linear Matrix Inequality (LMI) form. Then, the feedback gain matrix is designed based on the desired region of the closed loop system poles. This stabilizer shifts the poles of the power system in different operational points into the desired regions in s -plane, such that the response of the power system will have proper damping ratio in all the operational points. The uncertainties of the power system parameters are also considered in this robust technique. Finally, in order to show the advantages of the proposed method in comparison with conventional PSS, some simulation results are provided for a power system case study in different operational points.

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Control constraint‐based optimal PID‐PSS design for a widespread operating power system using SAR algorithm

Vijaya

Mangipudi²,

Manyala

2021

Int Trans Electr Energ Syst

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Summary Nowaday's tuning of a power system stabilizer (PSS) over widespread operating conditions to safeguard the power system stability is a challenging task to power engineers. Therefore, there is a need to develop a robust and reliable PSS to produce clean and sustainable energy for power generation. In this research work, a control constraint‐based optimal proportional, integral, and derivative (PID)‐PSS using nature‐inspired search optimization technique called search‐and‐rescue algorithm (SAR) is developed to suppress the low‐frequency oscillations (LFOs) in a power system operating in a wide range of operational states. The wide variations in the system operating conditions are captured by the coefficients of interval polynomial and then simple inequality conditions are attained to assure the power system stability. Furthermore, a multi‐objective function (MOF) is formulated to enhance the operation of the proposed PID‐PSS for a widespread operating state and also to encounter practical working conditions. A human search‐based optimization algorithm, that is, SAR, is implemented to acquire the PID‐PSS gains. The design resilience of the proposed PID‐PSS is investigated using two test cases of a one‐machine infinite‐bus (OMIB) power system operating at a widespread and also verified for static and dynamic mechanical disturbances. The simulation results show that the proposed optimal PID‐PSS controller outperforms the most prominent controllers in the recent literature.

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Robust pole placement stabilizer design using linear matrix inequalities

Cited by 159 publications

References 4 publications

Transient Stability Analysis of Power System by Coordinated PSS-AVR Design Based on PSO Technique

Transient Stability Analysis of Power System by Coordinated PSS-AVR Design Based on PSO Technique

A Wide Range Robust PSS Design Based on Power System Pole-Placement Using Linear Matrix Inequality

Control constraint‐based optimal PID‐PSS design for a widespread operating power system using SAR algorithm

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