Overhead Line Preventive Maintenance Strategy Based on Condition Monitoring and System Reliability Assessment

Zhang, Dabo; Li, Wenyuan; Xiong, Xiaofu

doi:10.1109/tpwrs.2013.2295379

Cited by 68 publications

(34 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Focusing on the overhead transmission lines in this study, practical engineering judgments and reports reveal that the lines are commonly so well-made that the electrical towers and insulating systems are more likely to fail over time than the overhead lines themselves [21]. Wooden towers begin to rot in 40 years of continuous service, and steel towers would corrode, mostly driven by the weather and environmental drivers.…”

Section: Weather Impacts On the Grid Assetsmentioning

confidence: 96%

See 1 more Smart Citation

Simulation of Weather Impacts on the Wholesale Electricity Market

Zhang

Dehghanian

Kezunovic

2015

Engineering and Industry

View full text Add to dashboard Cite

Section: Weather Impacts On the Grid Assetsmentioning

confidence: 96%

“…and the inspection data and human judgment for some other compartments (e.g., foundations, tower structures, auxiliaries, etc.) [21]. The health index is a dynamic measure of the line availability for operation and can be updated as new monitoring data arrives.…”

Section: Weather Impacts On the Grid Assetsmentioning

confidence: 99%

Simulation of Weather Impacts on the Wholesale Electricity Market

Zhang

Dehghanian

Kezunovic

2015

Engineering and Industry

View full text Add to dashboard Cite

“…The annual costs of PM include the inspection cost, the minor maintenance cost, the major maintenance cost, and the cost of replacing the equipment in a steady-state (F status), which are shown in (30) to (33), respectively.…”

Section: Calculation Of Maintenance Costs Using the Proposed Markovmentioning

confidence: 99%

Determining the optimal inspection rate of circuit breakers equipped with condition monitoring devices using new maintenance Markov model

Karimabadi

Hajiabadi

Kamyab³

et al. 2020

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Nowadays, the maintenance scheduling of equipment has been highly improved using condition monitoring (CM) systems. This paper determines the optimal inspection rate of circuit breakers equipped with CM using a novel mathematical procedure. To achieve this goal, in the first step, it is necessary to quantify the effect of CM on the early detection of minor failures of the equipment. Therefore, a mathematical formulation is provided to categorize and model the failures of the equipment based on their severity. Moreover, a new concept termed predictive maintenance (PDM) rate will be introduced and formulated in this paper. The PDM rate is applied in the maintenance process as the smart inspection rate of the equipment. In the second step, this paper proposes a new combined preventive and predictive maintenance Markov model. By developing the formulation of the proposed Markov model, an optimization problem is formed. In this optimization problem, the annual maintenance cost serves as the objective function and the inspection rates represent the decision variables. The comprehensive statistical study on the failures of 400kv‐CB of KREC in Iran and the implementation of the proposed method indicates that the CM and optimal inspection of the CB not only enhances the lifetime of the CB by 19.48 years but also lower the annual maintenance cost by 19%.

show abstract

“…However, this relationship cannot be directly applied in practice, as we explain. Note that, according to (5), the component failures occurring at different stages on a path of cascading outages are correlated with one another. As a consequence, this long-range coupling, unfortunately, produces complicated and nonlinear correlation between BR and CoFPFs.…”

Section: Relationship Between Br and Cofpfsmentioning

confidence: 99%

“…[4] considers the process and mechanism of treecontact failures of transmission lines, based on which an analytic formulation is proposed. Another CoFPF of transmission lines given in [5] adopts an exponential function to depict the relationship between CFP and some specific indices which can be calculated from monitoring data of transmission lines. This formulation can be extended to other system components in addition to transmission lines, e.g., transformers [6].…”

Section: Introductionmentioning

confidence: 99%

Quantifying the Influence of Component Failure Probability on Cascading Blackout Risk

Guo

Liu

Wang

et al. 2018

IEEE Trans. Power Syst.

View full text Add to dashboard Cite

The risk of cascading blackouts greatly relies on failure probabilities of individual components in power grids. To quantify how component failure probabilities (CFP) influences blackout risk (BR), this paper proposes a sample-induced semianalytic approach to characterize the relationship between CFP and BR. To this end, we first give a generic component failure probability function (CoFPF) to describe CFP with varying parameters or forms. Then the exact relationship between BR and CoFPFs is built on the abstract Markov-sequence model of cascading outages. Leveraging a set of samples generated by blackout simulations, we further establish a sample-induced semianalytic mapping between the unbiased estimation of BR and CoFPFs. Finally, we derive an efficient algorithm that can directly calculate the unbiased estimation of BR when the CoFPFs change.Since no additional simulations are required, the algorithm is computationally scalable and efficient. Numerical experiments well confirm the theory and the algorithm.Index Terms-Cascading outage; component failure probability; blackout risk.

show abstract

Overhead Line Preventive Maintenance Strategy Based on Condition Monitoring and System Reliability Assessment

Cited by 68 publications

References 17 publications

Simulation of Weather Impacts on the Wholesale Electricity Market

Simulation of Weather Impacts on the Wholesale Electricity Market

Determining the optimal inspection rate of circuit breakers equipped with condition monitoring devices using new maintenance Markov model

Quantifying the Influence of Component Failure Probability on Cascading Blackout Risk

Contact Info

Product

Resources

About