Integration of common cause faults in the operational probabilistic approach

Almeida, Susana A. B. de; Pestana, Rui; Barbosa, F. P. Maciel

doi:10.1109/pmaps.2010.5528994

Cited by 3 publications

(6 citation statements)

References 2 publications

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“…The consequence of the event depends on several factors, and may also depend on the nature of the customers and their own outage costs [13]. Multiplying the event probability by its severity gives a measure of risk [4,7]. It is then possible to assess reliability by ranking different assets, or groups of assets, according to this measure of risk [14,15].…”

Section: Double Failuresmentioning

confidence: 99%

“…Equation (4) can be used directly to calculate the expected annual CML penalty due to MSR at any location. As an example, at one failing once in 3 years), NC was 30 000, PNR was 0.49, T was 144 hours, and f was l.0.…”

Section: Consequences Of (N-2) Failurementioning

confidence: 99%

“…However, for ease of use by engineers within the DNO, (4) was transformed by taking logarithms, and then scaling appropriately. This gives two practical advantages.…”

Section: Constructing a Rankingmentioning

confidence: 99%

“…The normal methodology for evaluating multiple failures is Markov Analysis [1], but in the case of cascading failures the individual faults are no longer truly independent [2], and so more bespoke methods such as analytical simulation must be employed [3]. A study based on the Portuguese transmission network looks at multiple failures that can arise, not just from cascading, but from widespread events such as severe weather or forest fires [4]. A summary paper looking at common mode failure (CMF) also looks primarily at transmission networks [5].…”

Section: Introductionmentioning

confidence: 99%

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A methodology for ranking locations according to the likelihood and consequence of extreme events

Blake¹,

Taylor²,

Miller³

2013

22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013)

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The present paper describes a methodology for evaluating major system risk on distribution networks, developed for and used by a distribution network operator (DNO) located in the North of England. Its purpose is to assess and rank each primary load point across the network as regards both the probability of extreme events occurring, and their consequence, expressed as a single major system risk index (MSR).This methodology was applied to around 150 separate load points, and the 40 with the highest MSR were further investigated to identify a range of possible mitigation strategies in each case. The paper concludes by evaluating the benefits of such a methodology to support long term network planning across a whole DNO, and by suggesting ways in which its applicability could be extended.

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Section: Double Failuresmentioning

confidence: 99%

Section: Consequences Of (N-2) Failurementioning

confidence: 99%

“…However, for ease of use by engineers within the DNO, (4) was transformed by taking logarithms, and then scaling appropriately. This gives two practical advantages.…”

Section: Constructing a Rankingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A methodology for ranking locations according to the likelihood and consequence of extreme events

Blake¹,

Taylor²,

Miller³

2013

22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013)

View full text Add to dashboard Cite

show abstract

“…For instance, in [47], a severity evaluation is conducted in terms of thermal load, voltage instability, and loss of load, to reflect the impact of contingencies with the help of steady-state analysis. However, [47] does not highlight the importance of the severity factor in the transmission system security analysis.…”

Section: Introductionmentioning

confidence: 99%

Investigating Various Severity Factor Behaviors for Operational Risk Assessment

Nazir

Bollen

2022

Electricity

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Operational risk assessment is a stochastic approach to quantify the operational security of power systems. In this study, the interrelation between severity factor and operational risk, two important parameters in operational risk assessment, is analyzed. Four different definitions of severity factor, based on the results from network studies, are proposed and applied, resulting in different values for the operational risk indices. The behavior of these indices is analyzed under varying operating conditions and compared with the behavior of the severity factor for individual contingencies. This study confirms the importance of the severity factor definition and shows that multiple operational risk indices are required to obtain a clear picture of the operational security of a transmission system. One risk index may increase while another decreases.

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Operational risk assessment of transmission Systems: A review

Nazir,

Bollen

2024

International Journal of Electrical Power & Energy Systems

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Integration of common cause faults in the operational probabilistic approach

Cited by 3 publications

References 2 publications

A methodology for ranking locations according to the likelihood and consequence of extreme events

A methodology for ranking locations according to the likelihood and consequence of extreme events

Investigating Various Severity Factor Behaviors for Operational Risk Assessment

Operational risk assessment of transmission Systems: A review

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