Stochastic dynamic programming approach for proactive replacement of power cables
Stochastic dynamic programming approach for proactive replacement of power cables
- Author(s): S. Sachan ; Chengke Zhou ; G. Bevan ; B. Alkali
- DOI: 10.1049/cp.2016.0680
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- Author(s): S. Sachan ; Chengke Zhou ; G. Bevan ; B. Alkali Source: CIRED Workshop 2016, 2016 page ()
- Conference: CIRED Workshop 2016
- DOI: 10.1049/cp.2016.0680
- ISBN: 978-1-78561-202-2
- Location: Helsinki, Finland
- Conference date: 14-15 June 2016
- Format: PDF
The purpose of this paper is to present a stochastic dynamic programming based model to solve the optimization problem of cable replacement. The proposed methodology can be implemented on cables with known failure distribution and insulation degradation level; the methodology to estimate both of the elements is based on previously developed Non-homogenous Poisson Process model (NHPP) and stochastic degradation model, respectively. The model gives the sequence of decisions for each year of the planning horizon such that it optimizes the overall cost and improves the reliability by lowering the frequency of unplanned outage. The model was tested on an unjacketed XLPE cable.
Inspec keywords: stochastic processes; stochastic programming; XLPE insulation; dynamic programming; power cable insulation
Subjects: Optimisation techniques; Other topics in statistics; Power cables; Organic insulation
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