An on-line expert system for fault section diagnosis in power systems

Vázquez, E.; M., O.L. Chacon; F., H.J. Altuve

doi:10.1109/59.574959

Cited by 66 publications

(11 citation statements)

References 6 publications

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“…Input feature-selection constitutes an essential first step. This was chosen very carefully so that the input features will correctly reflect the characteristics of the problem [7][8]. In the current study, four statistics "Maximum discharge area", "Minimum discharge area", "Average discharge area" and "Discharge range" are chosen as input features.…”

Section: B Construction Of Diagnosis System Based On Bp Neural Networkmentioning

confidence: 99%

Intelligent High-Voltage Discharge Fault Detection and Its Diagnosis Methods Based on ANN

et al. 2011

2011 2nd International Symposium on Intelligence Information Processing and Trusted Computing

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In order to prevent the harm of corona, the power sector needs to detect and analyze the fault of corona discharge. This paper put forward a single-channel structure corona detection system based on solar-blind UV detection technology, which is able to locate corona discharge effectively. And the absolute discharge area formula has been derived to quantify the corona discharge intensity. On that basis, a corona discharge fault diagnosis method has been built based on BP neural network, which can make the correct classification of the corona failure.

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Section: B Construction Of Diagnosis System Based On Bp Neural Networkmentioning

confidence: 99%

Intelligent High-Voltage Discharge Fault Detection and Its Diagnosis Methods Based on ANN

et al. 2011

2011 2nd International Symposium on Intelligence Information Processing and Trusted Computing

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“…Expert system (ES) technique [4][5][6][7] is well suited for a diagnosis problem like fault section estimation because it mimics the behavior of fault analysis experts which perform fact-rule comparisons and search of consequent steps. The disadvantage is that an expert system has to be developed using formalized knowledge that correctly captures the expertise, which may require an extensive expert interviewing effort.…”

Section: A Expert System (Es) Techniquementioning

confidence: 99%

Implementing Intelligent Techniques for the Advanced Alarm Processing

Guan

Kezunovic

2009

2009 15th International Conference on Intelligent System Applications to Power Systems

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A major power system disturbance could trigger hundreds and sometimes thousands of individual alarms and events. A better and simpler description of the problems affecting the power system is an urgent need for the operators. The task of an Intelligent Alarm Processor (IAP) is to analyze thousands of alarm messages and extract the information that explains causeeffect sequences associated with the network events. In this sense, Fuzzy Reasoning Petri-nets is a very powerful intelligent technique to deal with the complexities of the power system fault and alarm processing. A graphical FRPN model is build in this paper based on the optimal structure and uses fuzzy logic parameters to effectively tackle the uncertainties. Case studies are presented to demonstrate the capability of the IAP under real fault scenarios.

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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%

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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An on-line expert system for fault section diagnosis in power systems

Cited by 66 publications

References 6 publications

Intelligent High-Voltage Discharge Fault Detection and Its Diagnosis Methods Based on ANN

Intelligent High-Voltage Discharge Fault Detection and Its Diagnosis Methods Based on ANN

Implementing Intelligent Techniques for the Advanced Alarm Processing

Use of Fuzzy Logic Systems for Assessment of Primary Faults

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