Variable time step application on hybrid eletromechanical–eletromagnetic simulation

Jardim, Jorge L.; Salim, Karen Caino de Oliveira; Santos, Pedro Henrique Lourenço dos; Neto, Carlos Alberto da Silva; Santos, Marcelos Groetaers dos; Barros, Henildo Medeiros de; Taranto, G.N.

doi:10.1049/iet-gtd.2016.1322

Cited by 6 publications

(1 citation statement)

References 9 publications

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“…Particularly, the foundations to detect the onset of instability caused by bifurcations in the fast subsystem due to slow changes in the slow subsystem state variables are developed. Although the idea of decomposition of stability analysis is not new in the literature of power systems [13,14], the proposed algorithm integrates short and mid-term stability analysis into a single algorithm, which has transient stability and QSS analysis [10,11,[15][16][17] as particular cases. Based on the singular perturbation and stability region theory [15,17], the method captures instability scenarios which are consequence of interaction between fast and slow dynamics avoiding erroneous conclusions about stability when transient stability analysis and QSS analysis are separately performed.…”

Section: Introductionmentioning

confidence: 99%

Time scale stability analysis of a Hopf bifurcation in a wind–diesel hybrid microgrid

Pillco

Alberto

Oliveira

2020

IET Renewable Power Generation

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Microgrids and modern bulk power systems usually have multiple time scale dynamics, such as slow and fast dynamics. In this study, the stability of a wind-diesel hybrid microgrid is investigated to show a mechanism of system collapse caused by the interaction between fast dynamics of interface converters and slow electromechanical dynamics. This mechanism leads to a Hopf bifurcation of the fast subsystem due to slow changes in the variables of the slow subsystem and is completely understood by decomposing the stability analysis of the microgrid into the stability assessment of two simpler subsystems: the slow and the fast subsystems. The timescale method proposed in this study for stability analysis of the microgrid extends the existing proposals in the literature and is able to detect this kind of instability scenario, where the interaction between fast and slow subsystems is the cause of collapse, while the existing approaches, such as quasi-steady-state analysis, fail in detecting instability.

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