MURAL - Maynooth University Research Archive Library

    Composite Power System Reliability Evaluation Considering Stochastic Parameters Uncertainties

    Miranda, Felipe Laure and de Oliveira, Leondardo Willer and Dias, Bruno Henriques and de Resende, Leonidas Chaves and Nepomuceno, Erivelton and de Oliveira, Edimar José (2020) Composite Power System Reliability Evaluation Considering Stochastic Parameters Uncertainties. IEEE Latin America Transactions, 18 (11). pp. 2003-2010. ISSN 1548-0992

    Download (673kB) | Preview

    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...

    Add this article to your Mendeley library


    In electrical power systems, the impact of interruptions due to failures can be reduced through expansion planning studies. While high investments result in very expensive and more reliable decisions, reduced investments can lead to unreliable systems. Therefore, it is evident that economic and reliability constraints are conflicting, which makes decision-making difficult in planning and operation stage. The reliability theory, based on probabilities and stochastic processes, allows modeling the random behavior of equipment to estimate performance indices such as Loss of Load Cost. However, parameters as equipment failure rate and repair time are subject to random variations due to limited or nonexistent operating histories, aging and statistical errors. This paper proposes a technique for considering uncertainties on stochastic equipment data in power systems expansion planning. Based on the Monte Carlo Simulation, the proposed technique uses Interval Arithmetic as a method for calculating uncertainty through the theory of imprecise probabilities (P-Box). The application in a test system and a real transmission system allows observing the behavior of the reliability cost as well as the final cost of alternatives for expansion of these systems with the consideration of uncertainties along the expansion horizon.

    Item Type: Article
    Keywords: Power System Reliability; Uncertainties; Interval Arithmetic; Probability Box;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 16713
    Depositing User: Erivelton Nepomuceno
    Date Deposited: 16 Nov 2022 12:43
    Journal or Publication Title: IEEE Latin America Transactions
    Publisher: Institute of Electrical and Electronics Engineers
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

    Repository Staff Only(login required)

    View Item Item control page


    Downloads per month over past year

    Origin of downloads