Determination and enhancement of probabilistic stability margin with load uncertainties

Zhang, J. F.; Tse, C.T.; Wang, K. W.; Bian, Xiaoyan; Wong, K.P.; Ho, S. L.; Lock, F. S.

doi:10.1016/j.ijepes.2012.08.055

Cited by 4 publications

(3 citation statements)

References 36 publications

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“…Equation (16) means that there are 50% scenarios have OSMs lower than 50% α . The percentage of the right side of (16) can be considered as a risk level which is defined as the probability that the system will fail to achieve the specific OSM 50% α .…”

Section: Probabilistic Study Based On Monte Carlo Simulationmentioning

confidence: 99%

“…The percentage of the right side of (16) can be considered as a risk level which is defined as the probability that the system will fail to achieve the specific OSM 50% α . In other words, at load level (1+ 50% α ), there is 50% probability that the Hopf bifurcation occurs, i.e.…”

Section: Probabilistic Study Based On Monte Carlo Simulationmentioning

confidence: 99%

“…Table I shows the OSMs at specific risk levels with different wind speed correlation degrees. The results are based on two risk levels [16]: 1% and 50%. As ρ increases, both OSMs at the specific risk levels drcrease, which indicates that at the same risk level, the correlation between the two wind farms has a negative impact on OSM.…”

Section: Probabilistic Study Based On Monte Carlo Simulationmentioning

confidence: 99%

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Probabilistic evaluation of oscillatory stability margin with large-scale wind generation

Yue

Zhou

et al. 2013

2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

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This paper presents a Monte Carlo based probabilistic methodology of evaluating the oscillatory stability margin of power system with large-scale wind generation. The approach considers not only the stochastic characteristics of wind speeds which are treated as random variables with Weibull distributions, while also the wind speed spatial correlations which are modeling by Nataf transformation. A case study is carried out on IEEE New England system and the probabilistic indices for OSM are computed from the statistical processing of the obtained results. The results indicate that the OSM obtained by deterministic study cannot guarantee the system being surely oscillatory stable, but stable with a given risk of oscillatory instability. It is shown that, for the cases studied, wind penetration and wind speed correlation detrimentally affects the OSM.

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Section: Probabilistic Study Based On Monte Carlo Simulationmentioning

confidence: 99%

Section: Probabilistic Study Based On Monte Carlo Simulationmentioning

confidence: 99%

Section: Probabilistic Study Based On Monte Carlo Simulationmentioning

confidence: 99%

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