A Model to Represent Correlated Time Series in Reliability Evaluation by Non-Sequential Monte Carlo Simulation

This paper proposes a model that represents statistically dependent time-varying quantities, such as loads, wind power generation, and water inflows, and can be applied to evaluate power systems composite reliability by Non-Sequential Monte Carlo Simulation (MCS). This proposal is based on nonparame...

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Veröffentlicht in:	IEEE transactions on power systems 2017-03, Vol.32 (2), p.1511-1519
Hauptverfasser:	Tancredo Borges, Carmen Lucia, Dias, Julio A. S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Computational modeling Correlated time series non-sequential Monte Carlo simulation Power system reliability Random variables Reliability reliability evaluation Stochastic processes Time series analysis Time-varying systems wind generation
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