Power system stabilizers design using optimal reduced order models. I. Model reduction

Feliachi, A.; Zhang, X.; Sims, Craig S.

doi:10.1109/59.192979

Cited by 52 publications

(7 citation statements)

References 16 publications

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“…Using the optimal reduced order method [2], [3], the following reduce order model is obtained as: The reduced order optimal controller is designed by solving the following linear regulator problem gotten from the reduced order model:…”

Section: Numerical Resultsmentioning

confidence: 99%

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Output-regulated optimal grey controller

Huang

Liu

Chang

et al. 2010

Journal of Information and Optimization Sciences

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In this paper, we propose a new method to design a grey prediction system controller using output feedback. The optimal reduced order model will be used to retain the physical meaning of the output states. By using only the output states feedback, the control strategy can be implemented easily. The grey prediction method adopts the forecasting information from the output state variables to control system behavior. As a result, it reduces the oscillation and enhances the dynamic stability of the system. The advantages of the proposed method are verified through a detailed simulation of a multi-machine power system. * Responses of the system with the proposed method and full state feedback optimal control are included for comparative analyses. In conclusion, the effectiveness of the grey prediction system controller in enhancing the dynamic performance stability is much better than the traditional optimal control methods.

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Section: Numerical Resultsmentioning

confidence: 99%

“…These are the reasons that a control scheme uses only some desired state variables such as output states. Upon this, a scheme referred to as optimal reduced order model [2][3][4] whose state variables are the deviation of only output states. The approach retains the modes that affect the system most.…”

Section: Introductionmentioning

confidence: 99%

Output-regulated optimal grey controller

Huang

Liu

Chang

et al. 2010

Journal of Information and Optimization Sciences

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“…The desired performance of stable or unstable DC motor can be achieve by setting the parameters of the preset state transition matrix and the results reveal that the suggested control method is very attractive. And, by using the optimal reduced order method [6][7][8][9], any high order system can be designed under this method to achieve the desired performance.…”

Section: Introductionmentioning

confidence: 99%

Controllable performance system regulator

Hwang

Huang

Chang

et al. 2007

Journal of Information and Optimization Sciences

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The concept of time-varying state feedback control of a system under the desired closed loop scate transition matrix is introduced. By setting the parameters or the preset state transition matrix, the time-varying state feedback can be designed. The theorem and design method are derived and an example of motor control with any desired performance can be achieved under the design of time-varying state feedback regular. By the optimal reduced order method, any system with desired performance can be designed in the same way.

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“…bulk power system have been reported [l], [2], [3]. These papers include system reduction needed for the control system design, based upon linearization and accurate retention of the characteristics of the modes under consideration.…”

Section: Introductionmentioning

confidence: 99%

Multivariable control design for damping interarea oscillations of bulk power systems using a modal reduction technique

Tada

Ohkubo

Kurita

1996

IEEE Trans. Power Syst.

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A new technique for multivariable control design in order to raise precision and facilitate design procedures is described. The multivariable control scheme for damping improvement of power swings is based on the optimal feedback control theory, and in the design process, eigenvalues of a 2n x 2n matrix for an n-th dimension state equation must be calculated in order to solve the Riccati equation. Hence, in order to apply to a bulk power system, the matrix size must he reduced. By modal reduction technique which is proposed in this paper, the matrix size can be reduced by about 75%. The multivariable control scheme is applied to a 164-machine system. The result shows that the proposed technique enables the multivariable control design for a bulk power system with simple procedures.

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Power system stabilizers design using optimal reduced order models. I. Model reduction

Cited by 52 publications

References 16 publications

Output-regulated optimal grey controller

Output-regulated optimal grey controller

Controllable performance system regulator

Multivariable control design for damping interarea oscillations of bulk power systems using a modal reduction technique

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