Stochastic dynamic programming approach for proactive replacement of power cables

Sachan, Swati; Zhou, Chengke; Bevan, Geraint; Alkali, Babakalli

doi:10.1049/cp.2016.0680

Cited by 5 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The ratio or percentage of defects that can be detected through inspection is noted as β . Here, according to practical experiences, it is assumed that 65% of the defects can be eliminated during routine inspection and testing [21], or β = 0.65.…”

Section: Time‐delay‐based Cable Failure Modellingmentioning

confidence: 99%

Time‐delay concept‐based approach to maintenance scheduling of HV cables

et al. 2020

View full text Add to dashboard Cite

The associated daily maintenance effort and cost has been increasing with the growing use of high‐voltage (HV) cable circuits. This study proposes a time‐delay concept‐based approach to maintenance scheduling of individual HV cable components, to allow periodicity of inspection to be optimised with consideration of time‐delay interval between the instant of defect inception and final failure. Here, the progress from a defect to its resultant final failure can be represented as a two‐stage process, one being a stochastic process of defect arrival and the other being a delay‐time interval from defect to failure. Then an optimisation model is established to schedule maintenance activities based on the two statistical processes, where the objective function is set as the minimal maintenance cost. Cable circuits are divided into five components in accordance with the objects of inspection and testing. The components within different service ages are considered individually in the statistical models, and their accumulate failure numbers during each service year are used to automatically formulate and update periodicity of inspection. To illustrate the feasibility of the approach proposed, theoretical analysis on thousands of cable circuits are carried out. Results show that the economic expenditure could be reduced by 22.2% after optimisation.

show abstract

Section: Time‐delay‐based Cable Failure Modellingmentioning

confidence: 99%

Time‐delay concept‐based approach to maintenance scheduling of HV cables

et al. 2020

View full text Add to dashboard Cite

show abstract

“…statistical, condition and utilisation assessment function, were applied to each of the cable attributes to produce assessment results; in the third step, after removing uncertainty by Monte Carlo simulations and translating of assessment results by folding functions, HI indicators were produced to give the remaining lifetime of the asset. By combining the electro-thermal degradation with power-law NHPP, Sachan et al [93] proposed a failure prediction method and a methodology for optimising cable maintenance policy for assets with known failure distribution and degradation level. By considering both random and ageing failures, the number of annual failures in future year can be predicted.…”

Section: Cable Maintenance and Replacement Strategymentioning

confidence: 99%

“…By combining the electro‐thermal degradation with power‐law NHPP, Sachan et al [93] proposed a failure prediction method and a methodology for optimising cable maintenance policy for assets with known failure distribution and degradation level. By considering both random and ageing failures, the number of annual failures in future year can be predicted.…”

Section: Cable Life Assessment and Maintenance Strategymentioning

confidence: 99%

Review of recent research towards power cable life cycle management

Zhou

Dong

2017

High Voltage

View full text Add to dashboard Cite

Power cables are integral to modern urban power transmission and distribution systems. For power cable asset managers worldwide, a major challenge is how to manage effectively the expensive and vast network of cables, many of which are approaching, or have past, their design life. This study provides an in-depth review of recent research and development in cable failure analysis, condition monitoring and diagnosis, life assessment methods, fault location, and optimisation of maintenance and replacement strategies. These topics are essential to cable life cycle management (LCM), which aims to maximise the operational value of cable assets and is now being implemented in many power utility companies. The review expands on material presented at the 2015 JiCable conference and incorporates other recent publications. The review concludes that the full potential of cable condition monitoring, condition and life assessment has not fully realised. It is proposed that a combination of physics-based life modelling and statistical approaches, giving consideration to practical condition monitoring results and insulation response to in-service stress factors and short term stresses, such as water ingress, mechanical damage and imperfections left from manufacturing and installation processes, will be key to success in improved LCM of the vast amount of cable assets around the world.

show abstract