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Power System Event Ranking Using a New Linear Parameter-Varying Modeling with a Wide Area Measurement System-Based Approach

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  • Mohammad Bagher Abolhasani Jabali

    (Electrical Engineering Department, Shahed University, Tehran 3319118651, Iran
    Iran Grid Management Company (IGMC), Teheran 1996836111, Iran)

  • Mohammad Hosein Kazemi

    (Electrical Engineering Department, Shahed University, Tehran 3319118651, Iran)

Abstract

Detecting critical power system events for Dynamic Security Assessment (DSA) is required for reliability improvement. The approach proposed in this paper investigates the effects of events on dynamic behavior during nonlinear system response while common approaches use steady-state conditions after events. This paper presents some new and enhanced indices for event ranking based on time-domain simulation and polytopic linear parameter-varying (LPV) modeling of a power system. In the proposed approach, a polytopic LPV representation is generated via linearization about some points of the nonlinear dynamic behavior of power system using wide-area measurement system (WAMS) concepts and then event ranking is done based on the frequency response of the system models on the vertices. Therefore, the nonlinear behaviors of the system in the time of fault occurrence are considered for events ranking. The proposed algorithm is applied to a power system using nonlinear simulation. The comparison of the results especially in different fault conditions shows the advantages of the proposed approach and indices.

Suggested Citation

  • Mohammad Bagher Abolhasani Jabali & Mohammad Hosein Kazemi, 2017. "Power System Event Ranking Using a New Linear Parameter-Varying Modeling with a Wide Area Measurement System-Based Approach," Energies, MDPI, vol. 10(8), pages 1-14, July.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:8:p:1088-:d:105961
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    References listed on IDEAS

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    1. Weiming Xiang & Jian Xiao, 2013. "Finite-time stability and stabilisation for switched linear systems," International Journal of Systems Science, Taylor & Francis Journals, vol. 44(2), pages 384-400.
    2. Patterson, S.A. & Apostolakis, G.E., 2007. "Identification of critical locations across multiple infrastructures for terrorist actions," Reliability Engineering and System Safety, Elsevier, vol. 92(9), pages 1183-1203.
    3. Shaoyun Hong & Haozhong Cheng & Pingliang Zeng, 2017. "An N - k Analytic Method of Composite Generation and Transmission with Interval Load," Energies, MDPI, vol. 10(2), pages 1-17, January.
    4. Emanuele Ciapessoni & Diego Cirio & Stefano Massucco & Andrea Morini & Andrea Pitto & Federico Silvestro, 2017. "Risk-Based Dynamic Security Assessment for Power System Operation and Operational Planning," Energies, MDPI, vol. 10(4), pages 1-16, April.
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    Cited by:

    1. Xianggen Yin & Yikai Wang & Jian Qiao & Wen Xu & Xin Yin & Lin Jiang & Wei Xi, 2021. "Multi-Information Fusion-Based Hierarchical Power Generation-Side Protection System," Energies, MDPI, vol. 14(2), pages 1-19, January.

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