Impact of transmission line overloads on network reliability and conductor ageing

Shuran Liu, Carlos Cruzat Hermosilla, Konstantinos Kopsidas

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

    Abstract

    Any disturbances may lead to a broad range of transmission line overloads, threating the reliability and security of the network. This paper introduces a network reliability evaluation methodology based on sequential Monte Carlo (SMC) simulation, which helps to assess the impact of transmission line overloads on network reliability and plant ageing. A fault chain search model is implemented via AC power flow to capture cascading failures as a result of severe line overloads. The methodology also integrates a detailed electro-thermal modelling of overhead lines (OHLs) considering their key design and environmental properties to capture the risks of thermal ageing during emergency overload operations. A cost/worth analysis is performed to quantify the value of extensive emergency ratings on network performance against the risk of plant ageing and cascading failures. An application of the methodology is demonstrated on both IEEE 14-bus and RTS-96 network to test its scalability.

    Original languageEnglish
    Title of host publication2017 IEEE Manchester PowerTech, Powertech 2017
    PublisherIEEE
    ISBN (Electronic)9781509042371
    DOIs
    Publication statusPublished - 13 Jul 2017
    Event2017 IEEE Manchester PowerTech, Powertech 2017 - Manchester, United Kingdom
    Duration: 18 Jun 201722 Jun 2017

    Conference

    Conference2017 IEEE Manchester PowerTech, Powertech 2017
    Country/TerritoryUnited Kingdom
    CityManchester
    Period18/06/1722/06/17

    Keywords

    • Ageing
    • cascading failure
    • emergency rating
    • overhead lines
    • reliability assessment
    • sequential Monte Carlo
    • transmission line overload

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