Damping Controller Design for Power Systems Using LMI and GA Techniques

Elrazaz, Z.; Mandor, M.E-D.; Ali, E. S.

doi:10.1109/upec.2006.367528

Cited by 9 publications

(5 citation statements)

References 6 publications

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“…However, this matter has not been considered in some previous studies [8,10,16,17]. Moreover, unlike the methods presented in references [12,18], simplified model cannot be used for power system simulations.…”

Section: Introductionmentioning

confidence: 99%

“…These nonlinear equations can be linearized around each operating point, such that small signal model of the power system can be determined. 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].…”

Section: Introductionmentioning

confidence: 99%

“…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%

“…Some of these desirable methods are combination of H ∞ and H 2 [5,19] or combination of H ∞ and Pole-Placement methods [6][7]. In these combined methods, the design problem can be converted to a LMI problem, whose solving determines the stabilizer parameters [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19].…”

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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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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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show abstract

“…Optimization of PSSs using bat search algorithm is discussed in . A robust PSS using GA and linear matrix inequalities is introduced in .…”

Section: Introductionmentioning

confidence: 99%

A hybrid particle swarm optimization and bacterial foraging for power system stability enhancement

Elazim

Ali

2014

Complexity

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A novel hybrid approach involving particle swarm optimization (PSO) and bacterial foraging optimization algorithm (BFOA) called bacterial swarm optimization (BSO) is illustrated for designing static var compensator (SVC) in a multimachine power system. In BSO, the search directions of tumble behavior for each bacterium are oriented by the individual's best location and the global best location of PSO. The proposed hybrid algorithm has been extensively compared with the original BFOA algorithm and the PSO algorithm. Simulation results have shown the validity of the proposed BSO in tuning SVC compared with BFOA and PSO. Moreover, the results are presented to demonstrate the effectiveness of the proposed controller to improve the power system stability over a wide range of loading conditions. © 2014 Wiley Periodicals, Inc. Complexity 21: 245–255, 2015

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Stability improvement of multimachine power system via new coordinated design of PSSs and SVC

Ali

Elazim

2014

Complexity

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In this article, the assessment of new coordinated design of power system stabilizers (PSSs) and static var compensator (SVC) in a multimachine power system via statistical method is proposed. The coordinated design problem of PSSs and SVC over a wide range of loading conditions is handled as an optimization problem. The bacterial swarming optimization (BSO), which synergistically couples the bacterial foraging with the particle swarm optimization (PSO), is used to seek for optimal controllers parameters. By minimizing the proposed objective function, in which the speed deviations between generators are involved; stability performance of the system is enhanced. To compare the capability of PSS and SVC, both are designed independently, and then in a coordinated manner. Simultaneous tuning of the BSO‐based coordinated controller gives robust damping performance over wide range of operating conditions and large disturbance in compare to optimized PSS controller based on BSO (BSOPSS) and optimized SVC controller based on BSO (BSOSVC). Moreover, a statistical T test is executed to validate the robustness of coordinated controller versus uncoordinated one. © 2014 Wiley Periodicals, Inc. Complexity 21: 256–266, 2015

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Damping Controller Design for Power Systems Using LMI and GA Techniques

Cited by 9 publications

References 6 publications

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

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

A hybrid particle swarm optimization and bacterial foraging for power system stability enhancement

Stability improvement of multimachine power system via new coordinated design of PSSs and SVC

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