Survey on Excessive Alarms

Prince, William R.; Wollenberg, B.F.; Bertagnolli, David B.

doi:10.1109/mper.1989.4310880

Cited by 30 publications

(9 citation statements)

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“…synchrophasors, SCADA PI historian database and IED non-operational data can be retrieved and integrated. Since different measurement equipment produces data in quite different formats, the conversion of data into certain standard formats is also necessary [5]. After the measurements have been concentrated and converted to applicable data files, they are processed in different application modules, including optimized fault location, intelligent alarm processing, and other applications (e.g.…”

Section: A Data Sources and Applicationsmentioning

confidence: 99%

“…To adapt to the new situation, intelligent alarm processor has been developed to aid operators recognize the nature of the disturbances. Meanwhile, various fault location algorithms have been presented in the literature in the past [3][4][5]. In order to be able to evaluate which algorithms are applicable for a given fault event, different data sources (measurements) should be utilized and the idea of optimized fault location which takes into account both temporal and spatial considerations has been proposed [6].…”

Section: Introductionmentioning

confidence: 99%

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Synchronized sampling uses for real-time monitoring and control

Zheng

Kezunovic

2009

41st North American Power Symposium

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Real-time monitoring of power system conditions can help control center operators maintain adequate situational awareness. This paper addresses a set of visualization tools for future generation of switchable networks, with a particular emphasis on visualization used in the control center. While synchrophasor measurements are proven to enhance awareness of system operators, it remains unresolved how user interfaces that will aid operators in making decisions should be incorporated in existing interfaces for SCADA functions. This paper is aimed at developing an integrated visualization tool that will seamlessly incorporate time correlated information from synchrophasor measurements, SCADA and nonoperational data. This will result in intelligent operator tools for alarm processing, fault analysis and breaker switching management, which will increase the effectiveness of power system visualizations and reduce the time needed to make decisions.

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Section: A Data Sources and Applicationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Synchronized sampling uses for real-time monitoring and control

Zheng

Kezunovic

2009

41st North American Power Symposium

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“…Three types, singles, doubles, and triples, are third order polynomials with one, two, or three inputs, respectively. For example, the algebraic form of the triple node is described in (1). Output (1) where denote the trained coefficients and represent the input variables. Notably, the doubles and triples have crossterms, allowing interaction among the node input variables.…”

Section: B Abductive Reasoning Network (Arn)mentioning

confidence: 99%

“…Previously, rule-based expert systems (ES) have offered the capacity for powerful inference and explanation for the symbolrecognizing and knowledge-intensive fault diagnosis problem [1]- [9]. However, the ES requires a precise definition of the power system configuration, and the complex protective scheme makes the knowledge base and rules extremely challenging to construct, organize, and maintain [7], [10].…”

Section: Introductionmentioning

confidence: 99%

Abductive reasoning network based diagnosis system for fault section estimation in power systems

Huang

2002

IEEE Trans. Power Delivery

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This paper presents an abductive reasoning network (ARN) for real-time fault section estimation in power systems. The proposed ARN handles complicated and knowledge-embedded relationships between the circuit breaker status (input) and the corresponding candidate fault section (output) using a hierarchical network with several layers of function nodes of simple low-order polynomials. The relay status is then further used to validate the final fault section. Test results confirm that the proposed diagnosis system can obtain rapid and accurate diagnosis results with flexibility and portability for diverse power system fault diagnosis. In addition, the proposed method performs better than the artificial neural networks (ANN) classification method both in developing the diagnosis system and in estimating the practical fault section. Moreover, this study demonstrates the feasibility of applying the proposed method to real power system fault diagnosis.Index Terms-Abductive reasoning network (ARN), fault section estimation, power systems.

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“…In incident situations and contrary to normal situations, CCOps cannot depend on standard applications to help them to perform their duty. In [1] a survey concerning the excessive production of alarms in SCADA systems is presented and even though this survey has been conveyed over a decade and a half ago, only few of the problems it presents have been addressed by SCADA developers in order to provide standard applications for fault diagnosis. In several power transmission networks, CCOps are prepared for the hard job of fault diagnosis through theoretical learning and incident simulation, without any help from decision support applications.…”

Section: Introductionmentioning

confidence: 99%

On-Line Fault Diagnosis with Incomplete Information in a Power Transmission Network

Malheiro¹,

Vale²,

Ramos³

et al.

Proceedings of the 13th International Conference On, Intelligent Systems Application to Power Systems

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Nowadays, Power Transmission Networks are operated through Supervisory Control and Data Acquisition (SCADA) systems. In incident situations, SCADA systems are prone to accumulate huge amounts of information potentially with temporal, non-monotonic and incompleteness problems. To support operator's decisions, on-line fault diagnosis is needed due to the critical nature of their work. In this paper a system -SPARSE II -is presented. SPARSE II is based on the cooperation of knowledge and model-based techniques. It has the ability to perform on-line fault diagnosis despite the information problems of having a SCADA system as an information source.

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Survey on Excessive Alarms

Cited by 30 publications

References 0 publications

Synchronized sampling uses for real-time monitoring and control

Synchronized sampling uses for real-time monitoring and control

Abductive reasoning network based diagnosis system for fault section estimation in power systems

On-Line Fault Diagnosis with Incomplete Information in a Power Transmission Network

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