Fast Transient Security Assessment and Enhancement of Electric Power Systems Using Pattern Recognition

Yamashiro, Susumu; Koike, Toichiro; El-Abiad, Ahmed H.

doi:10.1016/b978-0-408-01468-7.50131-4

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1986

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Cited by 6 publications

(3 citation statements)

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“…Due to the fast transient security assessment mehtod using pattern recognition [1] and the optimal load flow method based on DC load flow [2] , an intuitively understandable preventive control strategy can be determined very quickly.…”

Section: Discussionmentioning

confidence: 99%

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On-Line Secure-Economy Preventive Control of Power Systems by Pattern Recognition

Yamashiro

1986

IEEE Trans. Power Syst.

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Section: Discussionmentioning

confidence: 99%

“…Using the transient security assessment method of the reference [1] and the proposed security constrained ELD, a simple and fast preventive control algorithm has been developed. TRANSIENT …”

mentioning

confidence: 99%

On-Line Secure-Economy Preventive Control of Power Systems by Pattern Recognition

Yamashiro

1986

IEEE Trans. Power Syst.

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“…Yamashiro et al [23] constructed a PR algorithm which uses static and transient data. The measurements are clustered in two features as asynchronous energy and transmission power margin of the system.…”

Section: Pat Tern Recognitionmentioning

confidence: 99%

Artificial neural-net based dynamic security assessment for electric power systems

Šobajić

Pao

1989

IEEE Trans. Power Syst.

335

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In the post-fault dynamic analysis of interconnected power systems, the critical fault clearing time (CCT) is one of the parameters of paramount importance. It constitutes a complex function of the pre-fault system condition, fault type and location, and protective relaying strategy. The evaluation of CCT involves elaborate computations that often include time-consuming solutions of nonlinear on-fault system equations. This paper describes an adaptive pattern recognition approach based on highly parallel information processing using artificial neural networks (ANN). High adaptation capabilities of these networks make them able to synthesize the complex mappings that carry the input attributesfeatures into the single valued space of the CCT's. Appropriate input feature selection makes this approach a candidate for successfully handling toDologicallv indeoendent dynamic security assessment process.

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Problems of On-line Evaluation of Power Systems State

Turkuya

Gotua

et al. 1989

IFAC Proceedings Volumes

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Fast Transient Security Assessment and Enhancement of Electric Power Systems Using Pattern Recognition

Cited by 6 publications

References 6 publications

On-Line Secure-Economy Preventive Control of Power Systems by Pattern Recognition

On-Line Secure-Economy Preventive Control of Power Systems by Pattern Recognition

Artificial neural-net based dynamic security assessment for electric power systems

Problems of On-line Evaluation of Power Systems State

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