FASIT - a tool for collection, calculation and reporting of reliability data

Heggset, J.; Kjølle, Gerd Hovin; Sagen, Ketil

doi:10.1049/cp.2009.0939

Cited by 10 publications

(7 citation statements)

References 5 publications

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“…Outage duration curves is constructed using data from the Norwegian fault and disturbance database, FASIT [17], [19]. The database contains information on historical failures of components, delivery point interruptions, and restoration and repair times.…”

Section: B Outage Durationmentioning

confidence: 99%

Transmission line unavailability due to correlated threat exposure

Kiel

Kjølle

2019

2019 IEEE Milan PowerTech

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Blackouts in the power system are rare events that can have large consequences for society. Successful preparation and prevention of such events calls for models capable of predicting their occurrence. The simultaneous outage of multiple components is of special interest in an N-1 secure transmission grid. Spatio-temporal correlation in probability of failure for components can cause blackouts to occur more often than anticipated. This paper demonstrates a new method of calculating time-series of component unavailability due to external threats based on historical data. The time-series of unavailability can be used to predict the expected occurrence of contingencies throughout the year. A test case is presented where an hourly time series of wind dependent failure probabilities and historical outage durations of transmission lines are combined to illustrate the proposed method. The results show that the simultaneous unavailability of multiple transmission lines may be significantly larger than estimated using traditional reliability analysis.

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Section: B Outage Durationmentioning

confidence: 99%

Transmission line unavailability due to correlated threat exposure

Kiel

Kjølle

2019

2019 IEEE Milan PowerTech

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“…This failure rate is calculated with Equation (23), where λ i is the expected number of failures per year per km of transmission line. In this case study, λ i is taken from Norwegian failure statistics [10]:…”

Section: Application To Reliability Assessmentmentioning

confidence: 99%

Transmission Line Length Estimation based on Electrical Parameters

Vrana¹,

Sperstad²

2018

Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2018)

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Some grid data sets contain only electrical parameters, but not the individual transmission line lengths. The failure rates of transmission lines are often estimated based on aggregated statistics given in failure rate per unit length of transmission line. These failure rates are key input parameters to power system reliability assessments. When length data are not available, such data need to be estimated to carry out reliability assessments. A simple and practical method is proposed for estimating transmission line lengths from the electrical parameters inductance and capacitance (which normally are available in grid data sets). The validity of the method is corroborated by testing it on a grid data set of the Danish transmission system that contains length information. The average error was 3.7 % for calculating the length of overhead lines and 27.3 % for estimating the length of all transmission lines (overhead, cable and combinations of these). The value of the method is illustrated by applying it in a case study on the reliability assessment of a part of the Norwegian transmission system, where length information was not available.

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“…The CENS arrangement has so far been based on the mandatory reporting of long interruptions (> 3 minutes) for end-users at all voltage levels > 1 kV and a standardized method for estimation of energy not supplied (ENS) [3,5]. Collection of interruption data and calculation of ENS and CENS is made in accordance with the FASIT standard [6].…”

Section: Interruption Cost Assessment (Cens)mentioning

confidence: 99%

“…These data are normalized per respondent in the survey with the corresponding interrupted power at the reference time. The interrupted power is defined as the estimated power in kW that would have been supplied at the time of interruption if the interruption did not occur [6]. The normalized cost data are used to establish continuous cost functions based on linear interpolation between the discrete surveyed data (arithmetic mean).…”

Section: Incorporating Short Interruptionsmentioning

confidence: 99%

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Incorporating short interruptions and time dependency of interruption costs in continuity of supply regulation

Kjølle

Samdal

Brekke

2009

IET Conference Publications

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This paper describes the extended incentive based regulation on continuity of supply adopted in Norway as of 2009. The new interruption cost assessment methodology is described incorporating short interruptions and time dependency of interruption costs. Previous studies have shown that annual costs of short interruptions are in the same order as costs of long interruptions, and that the costs are highly time dependent on a weekly and daily basis. Technical and economic consequences of the extended regulation for the network companies are also described.

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FASIT - a tool for collection, calculation and reporting of reliability data

Cited by 10 publications

References 5 publications

Transmission line unavailability due to correlated threat exposure

Transmission line unavailability due to correlated threat exposure

Transmission Line Length Estimation based on Electrical Parameters

Incorporating short interruptions and time dependency of interruption costs in continuity of supply regulation

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