A New Algorithm for Detecting Failure to Clear Mode of Circuit Breakers Using Fundamental Frequency Component of Voltage Signals

Feizifar, Behnam; Müller, Zdeněk; Usta, Ömer

doi:10.1109/tpwrd.2019.2927102

Cited by 6 publications

(4 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The second one refers to the circuit breaker contacts that do not open due to mechanical issues or wiring disconnections in the trip circuit. Many techniques have been proposed to detect circuit breaker failure [20], [21]. Whenever a failure is identified by the existing methods, the tripping strategy can be further implemented for the circuit breaker failure to isolate the failed circuit breaker and the fault.…”

Section: A Implementation Of the Proposed Scheme In Substationmentioning

confidence: 99%

A Novel Fault Isolation Scheme in Power System With Dynamic Topology Using Wide-Area Information

Zhang

Tong

Hong

et al. 2022

IEEE Trans. Ind. Inf.

View full text Add to dashboard Cite

The flexible and dynamic operation condition of the power system requires that the fault isolation scheme has sufficient adaptability. A novel fault isolation scheme based on wide-area information is proposed in this paper. Based on graph theory, the adjacency matrices of the electrical components and circuit breakers are constructed. The real-time switch status data is exploited to reflect the dynamic changes of the network topology. Then, the tripping path of the circuit breaker connecting each protected electrical component is searched by the Floyd-Warshall algorithm to formulate the fault isolation set for all protected electrical components. The proposed approach is applied to fault isolation from a wide-area perspective, and it is not affected by system coordination and selectivity compared with the one based on local information. The effectiveness of the proposed scheme is verified on a power system with the typical electrical connection under the cases of a single fault, multiple faults, circuit breaker failure, and substation with the outage of DC power supply, and the case where the circuit breakers cannot trip. Since the tripping sequence of the circuit breakers is determined before the fault occurs, even with dynamic changes of the power system conditions, the proposed scheme can minimize the fault isolation zone with low fault clearance time.

show abstract

Section: A Implementation Of the Proposed Scheme In Substationmentioning

confidence: 99%

A Novel Fault Isolation Scheme in Power System With Dynamic Topology Using Wide-Area Information

Zhang

Tong

Hong

et al. 2022

IEEE Trans. Ind. Inf.

View full text Add to dashboard Cite

show abstract

“…This could be due to mechanical problems such as incomplete contact opening or dielectric problems such as contaminated oil or loss of vacuum. A method to detect 'Failure to Clear' has been presented in [26].…”

Section: Overview Of Breaker Failure Protectionmentioning

confidence: 99%

Impact of converter‐interfaced renewable generations on breaker failure protection of the emanant transmission lines

Radhakrishnan

Das

2021

IET Renewable Power Gen

View full text Add to dashboard Cite

The presence of Converter Interfaced Generations (CIGs) poses significant challenges to traditional protection schemes. This paper studies the impact of CIGs on the Breaker Failure Protection (BFP) of transmission lines emanating from CIGs. The instantaneous overcurrent (50BF) setting and reset time of BFP have been investigated. Fault current contribution of CIGs is usually comparable with load currents. Low fault current contribution by CIGs may lead to significant loss of security of BFP because of the existing practice of using lower setting for 50BF. This paper proposes a voltage-dependent adaptive setting of 50BF element to enhance the security of BFP schemes while maintaining dependability. Use of voltage helps in differentiating loads from fault situations. In traditional power systems, CT subsidence current is known to delay the reset of BFP schemes. The impact of low fault contribution by CIGs on the reset time of BFP has been studied. Mathematical expression for CT subsidence current, which influences the reset time, has been derived. It is observed that the BFP reset may not be delayed if the fault current seen by the breaker is low due to the presence of CIG. Discussions on the dependability and security of proposed 50BF setting are also presented. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

show abstract

“…Accidents that cause equipment damage and huge economic losses due to sensor failure also occur from time to time. According to statistics, the sensor failures in general automation systems account for more than 45% of all failures [2,3]. However, once the sensor fails, the performance of the control system will be degraded at rst, and then catastrophic consequences will be caused.…”

Section: Introductionmentioning

confidence: 99%

Data Anomaly Diagnosis Method of Temperature Sensor Based on Deep Neural Network

Chen¹

2022

Mobile Information Systems

View full text Add to dashboard Cite

As one of the indicators of whether all kinds of machinery and electrical appliances work normally during use, temperature has an important basis for judging the normal work of related machinery. In order to reduce the probability of safety and quality problems caused by inaccurate temperature measurement in the use of these machines and electrical appliances, this paper uses RBF neural network and EEMD modal analysis two deep neural network models to build a deep neural network-based temperature sensor data anomaly diagnosis method. This method first excavates a large number of historical temperature data samples of temperature control sensors in machinery and electrical appliances and analyzes the change law of relevant sample data, so as to build a data anomaly diagnosis database, and then establish a temperature prediction model based on RBF to predict the temperature of electrical appliances and mechanical components; Second, real-time temperature monitoring and sampling are carried out for the normal temperature sensor. Based on the constructed sample database, automatic identification of various abnormal conditions is realized, and the real measured value of the sensor is reconstructed or estimated under abnormal conditions. EEMD feature extraction is carried out for the difference between the predicted temperature and the actual temperature; Finally, the RBF temperature anomaly diagnosis and classification model is constructed, and the feature vector sets are constructed by variance, variance percentage, energy and energy percentage methods, respectively, or jointly, and these vector sets are used as the input of the fault model for temperature anomaly diagnosis and monitoring. Through the diagnosis of the measured temperature sensor data, the established model has a good ability of fault diagnosis and classification.

show abstract

A New Algorithm for Detecting Failure to Clear Mode of Circuit Breakers Using Fundamental Frequency Component of Voltage Signals

Cited by 6 publications

References 16 publications

A Novel Fault Isolation Scheme in Power System With Dynamic Topology Using Wide-Area Information

A Novel Fault Isolation Scheme in Power System With Dynamic Topology Using Wide-Area Information

Impact of converter‐interfaced renewable generations on breaker failure protection of the emanant transmission lines

Data Anomaly Diagnosis Method of Temperature Sensor Based on Deep Neural Network

Contact Info

Product

Resources

About