Impact of SIPS performance on power systems integrity

Mathaios Panteli, Peter Crossley

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

    Abstract

    An increasing number of utilities are using System Integrity Protection Schemes (SIPS) to minimize the probability of large disturbances and to enhance power system reliability. This trend leads to the use of an increased number of SIPS resulting in additional risks to system security. This paper proposes a procedure based on Markov Modeling for assessing the risk of a SIPS failure or misoperation. The proposed method takes into consideration failures in the three stages of SIPS operation: arming, activation and implementation. This method is illustrated using an example of a Generation Rejection Scheme (GRS) for preventing cascading outages that may lead to load shedding. In addition, system operators tend to have the SIPS always armed to prevent a failure to operate when required. However, this can result in increased probability of SIPS misoperation (operation when not needed). Therefore, the risk introduced to the system by having the SIPS always armed and ready to initiate actions is examined and compared with the risk of automatic or manual arming of SIPS only when required. Sensitivity analysis is also performed to determine how different factors can affect the ability of the SIPS to operate in a dependable and secure manner.

    Original languageEnglish
    Title of host publicationAPAP 2011 - Proceedings: 2011 International Conference on Advanced Power System Automation and Protection
    Pages280-285
    Number of pages6
    Volume1
    DOIs
    Publication statusPublished - 2011
    Event2011 International Conference on Advanced Power System Automation and Protection - Beijing, China
    Duration: 16 Oct 201120 Oct 2011

    Conference

    Conference2011 International Conference on Advanced Power System Automation and Protection
    Abbreviated titleAPAP 2011
    Country/TerritoryChina
    CityBeijing
    Period16/10/1120/10/11

    Keywords

    • Markov Modeling
    • risk assessment
    • sensitivity analysis
    • System Integrity Protection Schemes

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