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Volumn 31, Issue 15, 2007, Pages 26-29

White noise excitation based identification method for low-frequency oscillation modal parameters

Author keywords

Eigensystem realization algorithm; Power systems; Small signal stability; System identification; Wide area measurement system

Indexed keywords

ELECTRIC POWER SYSTEMS; IMPULSE RESPONSE; POWER SPECTRAL DENSITY; WHITE NOISE;

EID: 34548173761     PISSN: 10001026     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (13)

References (13)
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  • 2
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  • 3
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    • Computation of power system low-order models from time domain simulations using a Hankel matrix
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  • 4
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    • State-space system identification-toward MIMO models for modal analysis and optimization of bulk power systems
    • KAMWA I, GKEIN-LAJOIE L. State-space system identification-toward MIMO models for modal analysis and optimization of bulk power systems. IEEE Trans on Power Systems, 2000, 15(1): 326-335.
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  • 5
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    • Initial results in power system identification from injected probing signals using a subspace method
    • ZHOU Ning. Initial results in power system identification from injected probing signals using a subspace method. IEEE Trans on Power Systems, 2006, 21(3): 1296-1302.
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  • 6
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    • Oscillatory stability limit prediction using stochastic subspace identification
    • GHASEMI H, CANIZARES C. Oscillatory stability limit prediction using stochastic subspace identification. IEEE Trans on Power Systems, 2006, 21(2): 736-745.
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    • Ghasemi, H.1    Canizares, C.2
  • 7
    • 5744237326 scopus 로고    scopus 로고
    • Improved Prony method for online identification of low-frequency oscillations in power systems
    • XIAO Jinyu, XIE Xiaorong, HU Zhixiang, et al. Improved Prony method for online identification of low-frequency oscillations in power systems. Journal of Tsinghua University: Sci and Tech, 2004, 44(7): 883-887.
    • (2004) Journal of Tsinghua University: Sci and Tech , vol.44 , Issue.7 , pp. 883-887
    • Xiao, J.1    Xie, X.2    Hu, Z.3
  • 8
    • 33847796416 scopus 로고    scopus 로고
    • An online identification method for power system low-frequency oscillations based on fuzzy filtering and Prony algorithm
    • LI Dahu, CAO Yijia. An online identification method for power system low-frequency oscillations based on fuzzy filtering and Prony algorithm. Automation of Electric Power Systems, 2007, 31(1): 14-19.
    • (2007) Automation of Electric Power Systems , vol.31 , Issue.1 , pp. 14-19
    • Li, D.1    Cao, Y.2
  • 9
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    • Power system time-varying oscillation analysis with wavelet ridge algorithm
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  • 12
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.