Optimal SVC placement for voltage stability reinforcement of power systems with most critical and N-1 security criteria

Jiansheng Huang, Zhuhan Jiang, Michael Negnevitsky

    Research output: Chapter in Book / Conference PaperConference Paperpeer-review

    6 Citations (Scopus)

    Abstract

    ![CDATA[This paper presents a messy genetic-algorithm-based optimization scheme for SVC planning, aimed at voltage stability enhancement of power systems under most critical and N-1 operation conditions. The SVC placement was formulated as a multi-objective optimization problem in terms of maximum worst-case reactive power margin, highest load voltages towards the critical operating points, minimum real power losses, and lowest SVC device costs. During the genetic algorithm search for the optimal solution, the most critical disturbance scenario was estimated with each SVC placement and the configuration of the original power system. The preselected candidate was further checked against the N-1 security criterion.]]
    Original languageEnglish
    Title of host publication2012 IEEE International Energy Conference and Exhibition (ENERGYCON 2012), Florence, Italy, 9-12 September 2012
    PublisherIEEE
    Pages415-420
    Number of pages6
    ISBN (Print)9781467314534
    DOIs
    Publication statusPublished - 2012
    EventIEEE International Energy Conference And Exhibition -
    Duration: 9 Sept 2012 → …

    Conference

    ConferenceIEEE International Energy Conference And Exhibition
    Period9/09/12 → …

    Keywords

    • genetic algorithms
    • optimization
    • power system stability
    • power systems
    • reactive power

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