Practical Code Formats for Reliability Based Design of Transmission Structures

Peyrot, Alain H.; Mozer, John D.; DiGioia, Anthony M.; Pohlman, Joe C.

doi:10.1016/b978-0-08-031874-5.50015-2

Cited by 3 publications

(3 citation statements)

References 2 publications

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“…According to the International Design Criteria of Overhead Transmission Lines [18], the initial strength R 0 i of is a stochastic variable following the Gaussian distribution. Same conclusions can be found in [19] and [20]. The probability density distribution of R 0 i is shown in (3) and (4).…”

Section: Fragility Curve Of Overhead Transmission Lines Under Wind Stsupporting

confidence: 82%

“…We can see that the unknown parameters

μ_{i}^{0}

are eliminated in the likelihood function . Besides the target variable W , the value of μ 0 and σ 0 can also be estimated in the quality test of overhead transmission lines . By using MLE, the strength reduction coefficient W can be estimated with the pooled performance records as follows:

\overset{true^}{W} = {arg}_{W} max \{Lik (W; \begin{matrix} {state}_{1, 1}, \dots, {state}_{1, m}; \\ {state}_{2, 1}, \dots, {state}_{2, m}; \\ \dots \\ {state}_{n, 1}, \dots, {state}_{n, m} \end{matrix})\}

…”

Section: Outage Rate Estimation Methods For Overhead Transmission Linementioning

confidence: 99%

“…We can see that the unknown parameters μ 0 i are eliminated in the likelihood function (21). Besides the target variable W , the value of μ 0 and σ 0 can also be estimated in the quality test of overhead transmission lines [20]. By using MLE, the strength reduction coefficient W can be estimated with the pooled performance records as follows: Because the probability distribution p pool (state i , t ) in (20) is not an elementary function, the estimated parameter W cannot be solved by the conventional partial-derivative-based method.…”

Section: Estimation Of Strength Reduction Coefficient Based On Pooledmentioning

confidence: 99%

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Overhead transmission line outage rate estimation under wind storms

Liu

Lei

Hou

2018

IEEJ Transactions Elec Engng

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Wind storms such as hurricanes increase the outage rate of overhead transmission lines and hence can seriously affect the security of power systems. Therefore, it is very important to estimate the overhead transmission line outage rate for a power system that might be jeopardized by wind storms. In this paper, we propose a new method for estimating the outage rate of overhead transmission lines, with two primary advantages. First, the proposed method describes the relationship between the outage rate and the weather factors by a fragility curve customized for overhead transmission lines to ensure that the relationship is precisely represented. Second, the proposed method takes the conductor strength reduction and different physical properties of overhead transmission lines into consideration to increase outage rate estimation accuracy. We test the proposed method by estimating the outage rate of overhead transmission lines in a regional power system based on both historical and simulated wind storms. The test results show that the proposed method generates a more accurate estimation than the conventional approaches. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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Section: Fragility Curve Of Overhead Transmission Lines Under Wind Stsupporting

confidence: 82%

“…We can see that the unknown parameters