Analytical Investigation of Dynamic Instability Occuring at Powerton Station

Ness, J. E. Van; Brasch, F.; Landgren, G. L.; Naumann, Sebastian

doi:10.1109/tpas.1980.319561

Cited by 56 publications

(14 citation statements)

References 7 publications

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“…The distance between the eigenvalues is (4) In particular, the condition for coincident and resonant eigenvalues is . Moreover, the relative direction of the eigenvalues is (5) The main result, obtained in the Appendix by a Taylor series expansion, is that to second order in and (6) where…”

Section: Perturbation Of Weak Resonancementioning

confidence: 99%

Perturbations of Weakly Resonant Power System Electromechanical Modes

Dobson

Barocio

2005

IEEE Trans. Power Syst.

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Abstract-It is not uncommon for oscillatory electric power system modes to move close to a resonance in which eigenvalues coincide. In a weak resonance, the modes are decoupled and the eigenvalues do not interact. We analyze general perturbations of a weak resonance and find two distinct behaviors, including interactions near strong resonances in which the eigenvalues quickly change direction. The possible perturbations are illustrated with interactions between electromechanical modes in a 4-generator power system. Some of the interactions are similar to subsynchronous resonance and can lead to oscillatory instability.

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Section: Perturbation Of Weak Resonancementioning

confidence: 99%

Perturbations of Weakly Resonant Power System Electromechanical Modes

Dobson

Barocio

2005

IEEE Trans. Power Syst.

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“…From Figure 3 the incremental changes of voltage and electromagnetic torque are given by [ (8) a re ( 9 ) by: portional voltage, E' ,are given The steady state change of the SVC susceptance is given by:…”

Section: Circuit Of the Svc [151 Ismentioning

confidence: 99%

Effect of Static Var Compensator Upon Synchronizing Torque Coefficient

El-Emary

1997

Electric Machines & Power Systems

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“…This type of instability is characterized by low frequency oscillations which can persist or even grow in magnitude [1,2]. Several real examples have been recorded and studied [3,4].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Power System Stabilizer Using ANFIS and Genetic Algorithms

Fraile-Ardanuy

Zufiria²

2005

Computational Intelligence and Bioinspired Systems

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Abstract. This paper presents an adaptive Power System Stabilizer (PSS) using an Adaptive Network Based Fuzzy Inference System (AN-FIS) and Genetic Algorithms (GAs). Firstly, genetic algorithms are used to tune a conventional PSS on a wide range of operating conditions and then, the relationship between these operating points and the PSS parameters is learned by the ANFIS. The ANFIS optimally selectes the classical PSS parameters based on machine loading conditions. The proposed stabilizer has been tested by performing nonlinear simulations using a synchronous machine-infinite bus model. The results show the robustness and the capability of the stabilizer to enhance system damping over a wide range of operating conditions and system parameter variations.

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Analytical Investigation of Dynamic Instability Occuring at Powerton Station

Cited by 56 publications

References 7 publications

Perturbations of Weakly Resonant Power System Electromechanical Modes

Perturbations of Weakly Resonant Power System Electromechanical Modes

Effect of Static Var Compensator Upon Synchronizing Torque Coefficient

Adaptive Power System Stabilizer Using ANFIS and Genetic Algorithms

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