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Optimisation in Network Structured Asset Management

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  1. Chapter 1: Introduction
    1. Background
    2. Optimisation in network asset management
    3. Aim of research
    4. Approach
    5. What we need
  2. Chapter 2: Asset management within the UK electricity industry
    1. Overview of UK electricity system
    2. Historical evolution of electricity in the UK
    3. The main arguments for privatisation
    4. The costs and benefits of the restructuring and privatisation of the U.K. electricity supply
    5. The network asset management framework
    6. Distinction between 'Refurbished' and 'Upgraded'
  3. Chapter 3: Replacement models for network asset management
    1. Definition of the model
    2. A capital rationing model
    3. Definitions
    4. Construction of the model
    5. Objective function
    6. Solution of the model
    7. Modelling approaches under uncertainty
    8. Stochastic programming
    9. Multiple criteria decision making (MCDM) approaches
  4. Chapter4: Conclusions and remaining issues
  5. References

This report considers the role of optimisation in the asset management of a large distribution network. In particular, we look at how to determine the optimal policy for project release. Projects relating to replacement of existing assets and network re-design may be prioritised given capital rationing and/or performance improvement requirements. We focus on maintenance and replacement of a large distribution network (network structured system) and consider the application to electricity distribution networks. The electricity companies who own the UK electricity distribution networks are under pressure to provide a high quality supply to customers at minimum cost. For this particular problem a zero-one integer linear programming model is proposed for selecting an optimal project portfolio, based on the objectives and constraints of the network owner. The modelling approach described in this study would extend to the financial investment appraisal of capital projects for a broad range of manufacturing and energy related industries such as power generation, refining and water supply.

[...] Therefore the average performance of the whole network composed of circuits: Where is the number of consumers in circuit . represents the average performance of consumers in circuit in year Where : the number of interruptions per 100 consumers if we don't release any project in circuit . : the number of interruptions per 100 consumers after the completion of the project in circuit . Therefore if we do not release any project in circuit in year or if we release at least one project in circuit in year . [...]

[...] Moreover, the presentation of real problems in asset management may lead to large-scale problems. Further work needs to be done to determine efficient solution methods for this purpose. A multi-decomposition approach is discussed in Li and Haimes (1992) applied to optimal maintenance related decision making for deteriorating water distribution systems. Also another method for large-scale model is detailed in Winston (1994). Decision support system A review of other decision support systems (DSS) which can be useful in developing an application using Visual Basic language and large scale Solver in Excel as interface (Gasemzadeh and Archer, 2000). [...]

[...] (1999), prototype model for asst management of a network structured system?, Centre for OR and Applied statistics, University of Salford, UK. Scarf, P.A. Martin, H.H. (1999) Framework for Maintenance and Replacement of a Network Structured System?, Technical Report: CMS, 1-16. Schultz, R. Stougie, A. Van der Vlerk,M.H.(1995). ?Solving stochastic programs with integer recourse by enumeration: a framework using Gröbner basis reductions?, Discussion paper 9562, CORE, Louvain-la-neuve, Belgium. Shaocheng, T. (1994). Interval number and fuzzy linear programmings?, fuzzy Sets and Systems 301-306. [...]

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