Design of Decentralized Multivariable Excitation Controllers in Multimachine Power Systems by Projective Controls

Arnautović, Dušan; Medanić, J.

doi:10.1109/tec.1987.4765898

Cited by 30 publications

(8 citation statements)

References 17 publications

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“…The output Upss of PSS is added to the excitation system. According to (3), PSS can also influence inter-area mode oscillation as it changes the terminal voltage of generator.…”

Section: Interaction Among Multiple Damping Controllersmentioning

confidence: 99%

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Coordinated Control of Multiple Damping Controllers Using Artificial Immune Network Theory

Jin

Zhao

Wang

et al. 2006

2006 International Conference on Power System Technology

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Power system stabilizer (PSS) and FACTS damping controller have been widely used to improve power system stability. Potential interactions among them can influence the effectiveness of damping control. An immune system operates to maintain the health of human bodies based on its ability to identify and respond to the intrusion of antigens. This paper explains the cooperative mechanism among antigens and different types of antibodies. A coordinated control method based on immune network theory is proposed to cope with multiple damping controllers simultaneously so as to keep a healthy level of power system damping. It acts by making full use of the advantageous interactions among controllers while minimizing adverse interactions such that power system oscillations are suppressed effectively. In this paper, an example power system installed with a PSS and a TCSC damping controller is presented that operate based on artificial immune coordinated control. Simulation results are given to demonstrate the effectiveness and robustness in variable circumstances of power system operation.

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“…The output Upss of PSS is added to the excitation system. According to (3), PSS can also influence inter-area mode oscillation as it changes the terminal voltage of generator.…”

Section: Interaction Among Multiple Damping Controllersmentioning

confidence: 99%

“…Secondly, due to local, uncoordinated control strategies, adverse interactions among multiple controllers are possible. To improve overall system dynamic performance, coordination of the various damping controllers in the power system is needed for oscillations damping [1][2][3].…”

mentioning

confidence: 99%

Coordinated Control of Multiple Damping Controllers Using Artificial Immune Network Theory

Jin

Zhao

Wang

et al. 2006

2006 International Conference on Power System Technology

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show abstract

“…To improve overall system dynamic performance, interactions among FACTS controls must be minimized or prevented. For coordination of the FACTS controls, various schematic approaches have been addressed in the literature [4]- [7]. Most of these proposals are based on small disturbance analysis that requires linearization of the system involved.…”

Section: Introductionmentioning

confidence: 99%

Optimization and coordination of damping controls for improving system dynamic performance

Lei

Lerch

Povh

2001

IEEE Trans. Power Syst.

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This paper presents a global tuning procedure for FACTS Device Stabilizers (FDS) and Power System Stabilizers (PSS) in a multi-machine power system using a parameter-constrained nonlinear optimization algorithm implemented in a simulation program. This algorithm deals with such an optimization problem by solving a sequential quadratic programming using the dual algorithm. The main objective of this procedure is to simultaneously optimize pre-selected parameters of the FDSs and PSSs having fixed parameters in coping with the complex nonlinear nature of the power system. By minimizing a nonexplicit target function in which the oscillatory rotor modes of the generators involved and swing characteristics between areas are included, interactions among the FACTS controls under transient conditions in the multi-machine system are improved. A multi-machine power system equipped with a TCSC and an SVC as well as three PSSs is applied to demonstrate the efficiency and robustness of the tuning procedure presented. The results obtained from simulations validate the improvement in damping of overall power oscillations in the system in an optimal and globally coordinated manner. The simulations also show that the stabilizers tuned are robust in providing adequate damping for a range of conditions in the system.

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“…To improve overall system dynamic performance, interactions among FACTS controls must be minimized or prevented. For the coordination of the FACTS controls, various approaches of schemes have been addressed in the literature [5- 101. Most of these proposals are based on small disturbance analysis that requires linearization of the system involved.…”

Section: Introductionmentioning

confidence: 99%

Improvement of interactions among facts controls

Lei

Buchholz

Lerch³

et al. 2000

Int Trans Elec Energy Syst

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Design of Decentralized Multivariable Excitation Controllers in Multimachine Power Systems by Projective Controls

Cited by 30 publications

References 17 publications

Coordinated Control of Multiple Damping Controllers Using Artificial Immune Network Theory

Coordinated Control of Multiple Damping Controllers Using Artificial Immune Network Theory

Optimization and coordination of damping controls for improving system dynamic performance

Improvement of interactions among facts controls

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