Data set for power system reliability analysis using a four-area test network

Sperstad, Iver Bakken; Solvang, Eivind; Jakobsen, Sigurd Hofsmo; Gjerde, Oddbjørn

doi:10.1016/j.dib.2020.106495

“…In the OPAL methodology, different failure rates 𝜆 can be specified for each individual component, but the currently available input data are average annual failure rates for each type of component, as calculated from the FASIT system [29]. The following section presents a methodology to provide condition-dependent failure rates.…”

Section: B Power System Reliability Analysismentioning

confidence: 99%

Accounting for component condition and preventive retirement in power system reliability of supply analyses

Toftaker¹,

Foros²,

Sperstad³

2022

Preprint

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Deteriorated power system components have a higher probability of failure than new components. Still, reliability of supply analyses traditionally model all components of the same type with the same probability of failure, and thus neglects the effect of deteriorated components. This paper presents a methodology to integrate a condition dependent component probability of failure model into a power system reliability analysis. The component state is described by a semi-Markov process, and the paper shows how this, under reasonable assumptions, can be approximated by a Markov process. The Markov assumption simplifies the analysis and allows the model to include preventive retirement and be calibrated to statistical data. A case study using statistical data for Norwegian power transformers shows that, in the Norwegian power system, the proportion of failures that are due to poor condition is small, partly due to the common strategy of preventive retirement. However, if the condition of the transformers were worse, the impact of poor condition can be considerable. The methodology further enables identification of the transformers that contribute most to the risk to reliability of supply. The paper thus highlights the importance of accounting for component condition in strategic decisions such as long-term renewal planning.<br>

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“…In the OPAL methodology, different failure rates 𝜆𝜆 can be specified for each individual component, but the currently available input data are average annual failure rates for each type of component, as calculated from the FASIT system [30].…”

Section: B Power System Reliability Analysismentioning

confidence: 99%

“…5. This test system represents small regions of the Nordic power system, and it has been developed and used for integrated power market and reliability analyses [25], [30]. Actual generation and demand for the different generator units and delivery points vary with the different operating states and is a result of power market simulations.…”

Section: A Test Systemmentioning

confidence: 99%

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Accounting for component condition and preventive retirement in power system reliability analyses

Toftaker¹,

Foros²,

Sperstad³

2022

Preprint

Self Cite

0

View full text Add to dashboard Cite

Deteriorated power system components have a higher probability of failure than new components. Still, reliability of supply analyses traditionally model all components of the same type with the same probability of failure, and thus neglects the effect of deteriorated components. This paper presents a methodology to integrate a condition dependent component probability of failure model into a power system reliability analysis. The component state is described by a semi-Markov process, and the paper shows how this, under reasonable assumptions, can be approximated by a Markov process. The Markov assumption simplifies the analysis and allows the model to include preventive retirement and be calibrated to statistical data. A case study using statistical data for Norwegian power transformers shows that, in the Norwegian power system, the proportion of failures that are due to poor condition is small, partly due to the common strategy of preventive retirement. However, if the condition of the transformers were worse, the impact of poor condition can be considerable. The methodology further enables identification of the transformers that contribute most to the risk to reliability of supply. The paper thus highlights the importance of accounting for component condition in strategic decisions such as long-term renewal planning.<br>

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“…In accordance with the above indexes, many reliability evaluation methods have been put forward, see [32][33][34][35][36][37][38]. Statistical methods play an important role in these methods.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Bus Line Operation Reliability Based on Copula Function

Zhang

¹

,

Jia

²

2021

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To promote the development level of urban sustainability, more and more cities have been paying attention to the improvement of public transportation. City managers intend to attract people from private cars to public transport by improving the service level of urban public transport. The operational reliability of bus lines plays a crucial role in maintaining high-level service of public transportation. Previous studies have focused on the service level of the whole line by investigating the overall stability of departure punctuality, line running time, and punctuality. This study aims to clarify the relationship between the whole line and sites in terms of the influence on the operational reliability of bus lines. This study proposes a bus route reliability evaluation method, based on copulas connect function, and the actual line data are taken as a case study. The results show that the method reveals the relationship between the overall line and the interstation paths in the context of operational reliability. This study finds the interstation path, which is more critical to the whole line. This method can provide a good reference for the diagnosis and evaluation of line operation and the optimization of bus routes. The results can support the sustainable development of public transportation.

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Data set for power system reliability analysis using a four-area test network

Cited by 13 publications

References 13 publications

Accounting for component condition and preventive retirement in power system reliability of supply analyses

Accounting for component condition and preventive retirement in power system reliability of supply analyses

Accounting for component condition and preventive retirement in power system reliability analyses

Analysis of Bus Line Operation Reliability Based on Copula Function

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