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X. Li, X. Chen, X. Yin, T. Xiang and H. Liu, “The Algorithm of Probabilistic Load Flow Retaining Nonlinearity,” Proceedings of 2002 PowerCon, International Conference on Power System Technology, Kunming, Vol. 4, 10 October 2002, pp. 2111-2115.

has been cited by the following article:

• TITLE: Probabilistic Load Flow Considering Correlation between Generation, Loads and Wind Power

  AUTHORS: Daniel Villanueva, Andrés Feijóo, José Luis Pazos

  KEYWORDS: Correlation, Monte Carlo Simulation, Probabilistic Load Flow, Wind Power, Wind Farm

  JOURNAL NAME: Smart Grid and Renewable Energy, Vol.2 No.1, February 28, 2011

  ABSTRACT: In this paper a procedure is established for solving the Probabilistic Load Flow in an electrical power network, considering correlation between power generated by power plants, loads demanded on each bus and power injected by wind farms. The method proposed is based on the generation of correlated series of power values, which can be used in a MonteCarlo simulation, to obtain the probability density function of the power through branches of an electrical network.