Using fuzzy logic for diagnosis of technical condition of power circuit breakers

Andruşcă, Mihai; Adam, Maricel; Baraboi, Adrian; Dragomir, Alin; Munteanu, Adrian

doi:10.1109/icepe.2014.6969911

Cited by 9 publications

(2 citation statements)

References 5 publications

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“…The output fuzzy sets are divided to {Healthy (Normal), Alarm, Emergency}. This function is obtained in the light of literature reviews and experts knowledge [5–20]. The ranges and membership functions for output variable are shown in Fig.…”

Section: Fuzzy‐probabilistic Diagnosis Methodsmentioning

confidence: 99%

Circuit breaker condition assessment through a fuzzy‐probabilistic analysis of actuating coil's current

Razi-Kazemi

2016

IET Generation, Transmission & Distribution

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Section: Fuzzy‐probabilistic Diagnosis Methodsmentioning

confidence: 99%

Circuit breaker condition assessment through a fuzzy‐probabilistic analysis of actuating coil's current

Razi-Kazemi

2016

IET Generation, Transmission & Distribution

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“…Many researchers do not address the problem of diagnosing the breaker state and its availability to perform a function in the likelihood of an undesirable event [10][11][12][13][14]. Only few papers determine the breaker availability or fault section availability using fuzzy logic but not in real-time [15][16][17][18][19]. It is important to note here that there are various methods for measuring phasor voltages or currents, the implementation of which could have high accuracy in determining the available switch states.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Circuit Breaker Availability Assessment in the Transmission Network

Petrović¹,

Glavaš

Noskov³

et al. 2021

Applied Sciences

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Circuit breakers (CBs) in the transmission network are the basic elements for energy flow control. CB diagnosis represents a decisive action for increasing power system reliability and safety. Their actual availability status and ability to perform major functions can sometimes be difficult to determine. This paper presents a general state estimation model based on fuzzy logic (FL), membership function (MF), and expert knowledge for diagnosis schemes to handle unclear information in the diagnosis procedure. The proposed model uses inputs from the Supervisory Control and Data Acquisition (SCADA) system, data on the position and state of the switch, changes in current in the network element CB (NECB), start or trip action of a protection relay on the NECB, and alarm status of the CB. For the diagnostic system input variables, data from the SCADA system, along with transformer and line protection devices, are used to allow the proper formation of rules and ultimately to determine the diagnostic status of the CB. The proposed method is tested on an authentic test power system, and the outcome results are compared with a previously reported technique. The obtained test results and the comparison prove the efficiency, authenticity, and fast operation feature of the suggested strategy.

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Soft Computing Methods and Its Applications in Condition Monitoring of DGS—A Review

Joshi¹,

Agrawal²,

Yadav³

et al. 2020

Advances in Intelligent Systems and Computing

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Using fuzzy logic for diagnosis of technical condition of power circuit breakers

Cited by 9 publications

References 5 publications

Circuit breaker condition assessment through a fuzzy‐probabilistic analysis of actuating coil's current

Circuit breaker condition assessment through a fuzzy‐probabilistic analysis of actuating coil's current

Real-Time Circuit Breaker Availability Assessment in the Transmission Network

Soft Computing Methods and Its Applications in Condition Monitoring of DGS—A Review

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