An expert system for power systems fault analysis

Zhu, Yongli; Yang, Yosheph; Hogg, B.W.; Zhang, W.Q.; Gao, Song

doi:10.1109/59.317573

Cited by 43 publications

(9 citation statements)

References 3 publications

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“…In many papers based on this topic, the primary goal is to determine the fault location in the grid, features of the grid, its protection and the automatization [1][2][3]. Functions of fault locations and basic methods for determining fault locations in transmission grid are described [11,13].…”

Section: Introductionmentioning

confidence: 99%

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Use of Fuzzy Logic Systems for Assessment of Primary Faults

Petrović¹,

Józsa

Baus

2015

Journal of Electrical Engineering

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In electric power systems, grid elements are often subjected to very complex and demanding disturbances or dangerous operating conditions. Determining initial fault or cause of those states is a difficult task. When fault occurs, often it is an imperative to disconnect affected grid element from the grid. This paper contains an overview of possibilities for using fuzzy logic in an assessment of primary faults in the transmission grid. The tool for this task is SCADA system, which is based on information of currents, voltages, events of protection devices and status of circuit breakers in the grid. The function model described with the membership function and fuzzy logic systems will be presented in the paper. For input data, diagnostics system uses information of protection devices tripping, states of circuit breakers and measurements of currents and voltages before and after faults.K e y w o r d s: fuzzy logic, primary faults, transmission grid Nomenclature |∆I| -absolute value of current change sensitivity I t -current after the event

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Section: Introductionmentioning

confidence: 99%

“…Functions of fault locations and basic methods for determining fault locations in transmission grid are described [11,13]. The overview of specific factors which affect fault locations is often shown [2,10,17].…”

Section: Introductionmentioning

confidence: 99%

Use of Fuzzy Logic Systems for Assessment of Primary Faults

Petrović¹,

Józsa

Baus

2015

Journal of Electrical Engineering

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“…It has dealt with many different techniques, for example, intelligent systems technologies including expert systems and artificial neural networks. Automated fault analysis approaches were developed by Kezunovic et al (1994;2000), Fukuyama & Ueki (1991), Yongli et al (1994), Yuehai et al (2004) and Luo & Kezunovic (2005). They argued that utilising these techniques can assist operators and protection engineers in analysing fault events and substation disturbances.…”

Section: Introductionmentioning

confidence: 99%

Web Services for Fault Analysis in Smart Grid Applications

Musaruddin

Živanović

2011

Australian Journal of Electrical and Electronics Engineering

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This paper presents a novel approach for fault and disturbance analysis in electrical power systems. A new software framework for analysing faults and disturbances in smart grid applications based on web services technology is proposed. The fault analysis system is designed to comply with the IEC 61850 standard, which is a core enabling technology for the smart grid. The data for analyses are obtained via a substation local area network from intelligent electronic devices complying with IEC 61850 on ethernet. Demonstrations of the following services currently implemented in the web services are presented: signal segmentation, signal modelling, fault type classifi cation and fault location service. Such services are designed to enhance manual investigations performed by engineers.

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“…Several methods have so far been developed, such as logic-based expert systems [1], artificial neural networks, Petri nets and optimization methods [2][3][4]. All these methods have their own way to solve the problem.…”

Section: Introductionmentioning

confidence: 99%

Bayesian Network Based Fault Section Estimation in Power Systems

Yan

Lanqin

2006

TENCON 2006 - 2006 IEEE Region 10 Conference

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In this paper, a novel method for fault section estimation in power systems based on Bayesian network is presented. The main contributions of this paper include the following two aspects. One is that the fault diagnosis models based on Bayesian network are proposed, which are converted from the logic relationship among section fault, protective relay operation and circuit breaker trip. This method is very simple, but can perfectly treat with the uncertain information existing in power system fault diagnosis. Another is that the method is developed for creating every section's diagnosis network automatically, thus the fault diagnosis can be fulfilled in a very short time for large-scale power system and can be implemented online. Diagnostic results of instance show that the proposed method is efficient and correct, and is very suitable for complex fault diagnosis problems, especially for the multiple-section fault cases and for the cases where protective relays and circuit breakers malfunction.

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An expert system for power systems fault analysis

Cited by 43 publications

References 3 publications

Use of Fuzzy Logic Systems for Assessment of Primary Faults

Use of Fuzzy Logic Systems for Assessment of Primary Faults

Web Services for Fault Analysis in Smart Grid Applications

Bayesian Network Based Fault Section Estimation in Power Systems

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