Reliability evaluation framework incorporating energy storage systems

M. Abogaleela, K. Kopsidas

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    Abstract

    Nowadays the network resilience and flexibility to uncertainties becomes one of the main aim of all network operators (NOs). However, achieving the previous aim faces many challenges related to the rapid demand growth and the high penetration of renewable energy resources (RES) that add more stresses on network components and hence reducing the network reliability levels. To that extent, this paper proposes a reliability evaluation framework incorporating energy storage at network contingencies. The method shows the implementation steps for the utilizing the available energy storage system (ESS) in the network during contingencies as a secondary application for the ESS beside its main application. Moreover, it addresses the impact of the ESS operating parameters from energy, power capacities and efficiency individually on the reliability levels. The impact of the proposed model is evaluated through metrics based on nodal reliability indices and the Sequential Monte Carlo simulation (SMC) approach on the 24-Bus IEEE Reliability Test System. The results from the proposed weighing method significantly reduced the expected interruption costs (EIC) by 32%.

    Original languageEnglish
    Title of host publication2017 19th International Middle-East Power Systems Conference, MEPCON 2017 - Proceedings
    PublisherIEEE
    Pages490-495
    Number of pages6
    Volume2018-February
    ISBN (Electronic)9781538609903
    ISBN (Print)9781538609903
    DOIs
    Publication statusPublished - 2018
    Event19th International Middle-East Power Systems Conference, MEPCON 2017 - Cairo, Egypt
    Duration: 19 Dec 201721 Dec 2017

    Publication series

    Name2017 19th International Middle-East Power Systems Conference, MEPCON 2017 - Proceedings
    Volume2018-February

    Conference

    Conference19th International Middle-East Power Systems Conference, MEPCON 2017
    Country/TerritoryEgypt
    CityCairo
    Period19/12/1721/12/17

    Keywords

    • Energy Storage System
    • Overhead lines
    • Reliability Assessment
    • Sequential Monte Carlo Simulation

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