An abductive expert system for interpretation of real-time data (of substations)

Dabbaghchi, I.; Gursky, R.J.

doi:10.1109/61.252632

Cited by 14 publications

(3 citation statements)

References 8 publications

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“…Assume that there are M group A laterals and (N-M-1) group B laterals in the out-of-service area for a particular training pattern. The lateral loadings and supporting feeder capacity margin can be described by the vector (1) where I,, .. ., I , = loads for group A laterals, IY+,, .…”

Section: Design Of the Artificial Neural Networkmentioning

confidence: 99%

Distribution system service restoration using the artificial neural network approach and pattern recognition method

Hsu

1995

IEE Proc., Gener. Transm. Distrib.

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Service restoration of a distribution system is investigated by using artificial intelligence. The purpose is to reach a proper restoration plan for the unfaulted zone after a fault has been identified and isolated. To reduce outage period and improve service reliability, the restoration plan must be devised in a very short period. In the paper, two approaches using artificial intelligence, i.e. the artificial neural network (ANN) approach and the pattern recognition method, are developed to determine the restoration plan in a very eficient manner. The effectiveness of the proposed approaches is demonstrated by the restoration of electricity service following a fault in a distribution system in Taipei, Taiwan. It is concluded from the example that a proper restoration plan can be reached very efficiently using the proposed approaches. Therefore, it can be used by distribution system operators to reach a restoration plan.

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Section: Design Of the Artificial Neural Networkmentioning

confidence: 99%

Distribution system service restoration using the artificial neural network approach and pattern recognition method

Hsu

1995

IEE Proc., Gener. Transm. Distrib.

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“…Furthermore, it is difficult to improve the performance of ES by learning from fresh experiences. Abductive inference techniques [11], [12] using a systematic scheme to im- Publisher Item Identifier S 0885-8977(02)02710-3.…”

Section: Introductionmentioning

confidence: 99%

Abductive reasoning network based diagnosis system for fault section estimation in power systems

Huang

2002

IEEE Trans. Power Delivery

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This paper presents an abductive reasoning network (ARN) for real-time fault section estimation in power systems. The proposed ARN handles complicated and knowledge-embedded relationships between the circuit breaker status (input) and the corresponding candidate fault section (output) using a hierarchical network with several layers of function nodes of simple low-order polynomials. The relay status is then further used to validate the final fault section. Test results confirm that the proposed diagnosis system can obtain rapid and accurate diagnosis results with flexibility and portability for diverse power system fault diagnosis. In addition, the proposed method performs better than the artificial neural networks (ANN) classification method both in developing the diagnosis system and in estimating the practical fault section. Moreover, this study demonstrates the feasibility of applying the proposed method to real power system fault diagnosis.Index Terms-Abductive reasoning network (ARN), fault section estimation, power systems.

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“…Διάγνωση Σφαλμάτων Δικτύου[17,30,36,39,50,66,67,74,94,106], Ο Επεξεργασία Μηνυμάτων Σφαλμάτων[14,47,55,64,80]. Ο Ρύθμιση Τάσης και Έλεγχος Αεργου Ισχύος[13,48,53,87,98].…”

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Συμβολή Στη Βελτιστοποίηση Των Διαδικασιών Συντήρησης Εξοπλισμού Συστημάτων Ηλεκτρικής Ενέργειας Με Χρήση Έμπειρων Συστημάτων Και Ασαφούς Λογικής

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An abductive expert system for interpretation of real-time data (of substations)

Cited by 14 publications

References 8 publications

Distribution system service restoration using the artificial neural network approach and pattern recognition method

Distribution system service restoration using the artificial neural network approach and pattern recognition method

Abductive reasoning network based diagnosis system for fault section estimation in power systems

Συμβολή Στη Βελτιστοποίηση Των Διαδικασιών Συντήρησης Εξοπλισμού Συστημάτων Ηλεκτρικής Ενέργειας Με Χρήση Έμπειρων Συστημάτων Και Ασαφούς Λογικής

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