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Copula-based modeling of stochastic wind power in Europe and implications for the Swiss power grid

Simeon Hagspiel, Antonis Papaemannouil, Matthias Schmid and Göran Andersson

Applied Energy, 2012, vol. 96, issue C, 33-44

Abstract: Large scale integration of wind energy poses new challenges to the European power system due to its stochastic nature and often remote location. In this paper a multivariate uncertainty analysis problem is formulated for the integration of stochastic wind energy in the European grid. By applying copula theory a synthetic set of data is generated from scarce wind speed reanalysis data in order to achieve the increased sample size for the subsequent Monte Carlo simulation.

Keywords: Stochastic wind power simulations; Monte Carlo method; Copula theory; Swiss power grid; Probabilistic N−1 analysis; Probabilistic transmission lines overload (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (34)

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DOI: 10.1016/j.apenergy.2011.10.039

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