An analytical approach to probabilistic uncertainly and sensitivity analysis (for power systems)

Esa Peltola, Juhani Rouvali

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Abstract

    An analytical method, called APUA, to calculate the properties of an algebraic function of random variables in a power system is presented. The principle of the method is briefly described and compared to other techniques. Two examples of application are presented. The results are compared to those given by Monte Carlo simulation and first-order Taylor series. The method seems to give reasonable results and it can be used to estimate the total uncertainty caused by many variables or by a subset of them.
    Original languageEnglish
    Title of host publication3rd International Conference on Probabilistic Methods Applies to Electric Power Systems
    Place of PublicationLondon
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages261-266
    ISBN (Print)0-85296-513-3
    Publication statusPublished - 1991
    MoE publication typeA4 Article in a conference publication
    Event3rd International Conference on Probabilistic Methods Applies to Electric Power Systems - London, United Kingdom
    Duration: 3 Jul 19915 Jul 1991

    Conference

    Conference3rd International Conference on Probabilistic Methods Applies to Electric Power Systems
    CountryUnited Kingdom
    CityLondon
    Period3/07/915/07/91

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  • Cite this

    Peltola, E., & Rouvali, J. (1991). An analytical approach to probabilistic uncertainly and sensitivity analysis (for power systems). In 3rd International Conference on Probabilistic Methods Applies to Electric Power Systems (pp. 261-266). IEEE Institute of Electrical and Electronic Engineers. https://ieeexplore.ieee.org/document/151859