EP0890111A1 - Procede pour generer des signaux de classification d'erreurs - Google Patents

Procede pour generer des signaux de classification d'erreurs

Info

Publication number
EP0890111A1
EP0890111A1 EP97921599A EP97921599A EP0890111A1 EP 0890111 A1 EP0890111 A1 EP 0890111A1 EP 97921599 A EP97921599 A EP 97921599A EP 97921599 A EP97921599 A EP 97921599A EP 0890111 A1 EP0890111 A1 EP 0890111A1
Authority
EP
European Patent Office
Prior art keywords
loops
neural network
error
classification signals
excitation
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
EP97921599A
Other languages
German (de)
English (en)
Inventor
Klaus Dr. Böhme
Andreas Dr. Jurisch
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Siemens AG
Original Assignee
Siemens AG
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Siemens AG filed Critical Siemens AG
Publication of EP0890111A1 publication Critical patent/EP0890111A1/fr
Ceased legal-status Critical Current

Links

Classifications

    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
    • H02H1/00—Details of emergency protective circuit arrangements
    • H02H1/0092—Details of emergency protective circuit arrangements concerning the data processing means, e.g. expert systems, neural networks

Definitions

  • test methods For the further processing of the impedance values of the other non-eliminated loops, which are detected as faulty, differently designed test methods are used with regard to the number of conductor-earth loops detected at the same time, each of which is the number of loops determined test procedures associated with conductor-earth loops are carried out.
  • FIG. 1 shows an exemplary embodiment of an arrangement for carrying out the method according to the invention with a neural network taught in with standardized resistance and reactance variables and in
  • the ⁇ o resistance or reactance measured variable obtained is standardized with regard to the excitation characteristic or the predetermined excitation polygon given by means 6 by means of reference resistance and reactance measured variables RL1-E standardized with reference to the excitation characteristic using quotient formation and XLl-E are formed.
  • the selection circuit 14 transfers the measured variables associated with the faulty loops at the output of the converter 1 to a protective device (not shown) arranged downstream of an output data bus 16 of the selection circuit 14, for example, a distance protection device, which then actuates circuit breakers located in the course of the power supply line.
  • This distinction signal UL1-E indicates whether the associated resistance or reactance measured variables RL1-E and XL1-E describe a pointer which lies within the excitation characteristic or the predefined excitation polygon specified by the device 6 .
  • an unnormalized reactance measured variable RL3-L1 and XL3-L1 is connected to further inputs 25 and 26 of the neural network 23 and a differentiation signal UL3-L1 to another assigned input 27, which also indicates whether the described measurement variables describe a pointer within the excitation characteristic or within the excitation polygon.
  • Error classification signals F3 and F4 are then output at outputs 28 and 29 of the neural network 23, which identify, for example, the loop L1-E of the power supply line, not shown, as a faulty loop and the loop L3-L1 as a further faulty loop.
  • the neural network 23 is learned in a different way than the neural network 9 according to FIG. 1.
  • the neural network 23 is namely taught in with resistance and reactance variables, taking into account classification signals, which in each case indicate whether the quantities supplied in pairs are within the range - characteristic curve or lying outside the excitation characteristic curve Describe pointer.
  • a "standardization" is thereby achieved, so that the arrangement according to FIG. 2 also works perfectly at different installation locations in a network and, via a selection circuit according to the selection circuit 14 according to FIG. 1, a measurement device, not shown, in particular a distance protection device which are to be evaluated in the respective error case.

Landscapes

  • Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Locating Faults (AREA)

Abstract

L'invention concerne un procédé permettant de générer des signaux de classification d'erreurs, qui, dans un réseau d'alimentation polyphasé, du point de vue d'un dispositif de protection comportant un circuit d'excitation, indiquent des boucles entachées d'erreurs se formant en cas d'anomalie. Pour pouvoir générer ces signaux de classification d'erreurs d'une manière relativement simple, on utilise un réseau neuronal (9) ayant subi un apprentissage avec des valeurs d'entrée qui simulent des boucles entachées d'erreurs sous forme de valeurs de résistance et de réactance normalisées, formées en tenant compte de la courbe d'excitation du circuit d'excitation (5). Afin de générer les signaux de classification d'erreurs (F1, F2), le réseau neuronal (9) est alimenté, en cas d'anomalie, par des valeurs de mesure de résistance et de réactance normalisées (RL1-E, XL1-E, RL3-L1, XL3-L1).
EP97921599A 1996-03-25 1997-03-25 Procede pour generer des signaux de classification d'erreurs Ceased EP0890111A1 (fr)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
DE19613012 1996-03-25
DE19613012A DE19613012C1 (de) 1996-03-25 1996-03-25 Verfahren zum Erzeugen von Fehlerklassifizierungssignalen
PCT/DE1997/000682 WO1997036185A1 (fr) 1996-03-25 1997-03-25 Procede pour generer des signaux de classification d'erreurs

Publications (1)

Publication Number Publication Date
EP0890111A1 true EP0890111A1 (fr) 1999-01-13

Family

ID=7790160

Family Applications (1)

Application Number Title Priority Date Filing Date
EP97921599A Ceased EP0890111A1 (fr) 1996-03-25 1997-03-25 Procede pour generer des signaux de classification d'erreurs

Country Status (4)

Country Link
US (1) US6405184B1 (fr)
EP (1) EP0890111A1 (fr)
DE (1) DE19613012C1 (fr)
WO (1) WO1997036185A1 (fr)

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Also Published As

Publication number Publication date
DE19613012C1 (de) 1997-08-14
US6405184B1 (en) 2002-06-11
WO1997036185A1 (fr) 1997-10-02

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