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Representation of Wind and Load Correlation in Non-Sequential Monte Carlo Reliability Evaluation

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Reliability and Risk Evaluation of Wind Integrated Power Systems

Abstract

Probabilistic reliability evaluation of power systems can be performed by two distinct representations of the system: state space and chronological simulation. In the state space representation, the system states are randomly sampled by non-sequential Monte Carlo simulation (MCS). In the chronological representation, the states are sequentially sampled to simulate system operation by sequential MCS.

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Correspondence to Carmen L. T. Borges .

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© 2013 Springer India

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Borges, C.L.T., Dias, J.A.S. (2013). Representation of Wind and Load Correlation in Non-Sequential Monte Carlo Reliability Evaluation. In: Billinton, R., Karki, R., Verma, A. (eds) Reliability and Risk Evaluation of Wind Integrated Power Systems. Reliable and Sustainable Electric Power and Energy Systems Management. Springer, India. https://doi.org/10.1007/978-81-322-0987-4_7

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  • DOI: https://doi.org/10.1007/978-81-322-0987-4_7

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  • Publisher Name: Springer, India

  • Print ISBN: 978-81-322-0986-7

  • Online ISBN: 978-81-322-0987-4

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