Maintenance strategy optimization for complex power systems susceptible to maintenance delays and operational dynamics

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George-Williams, Hindolo and Patelli, Edoardo (2017) Maintenance strategy optimization for complex power systems susceptible to maintenance delays and operational dynamics. IEEE Transactions on Reliability, 66 (4). pp. 1309-1330. ISSN 0018-9529 (https://doi.org/10.1109/TR.2017.2738447)

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Abstract

Maintenance is a necessity for most multicomponent systems, but its benefits are often accompanied by considerable costs. However, with the appropriate number of maintenance teams and a sufficiently tuned maintenance strategy, optimal system performance is attainable. Given system complexities and operational uncertainties, identifying the optimal maintenance strategy is a challenge. A robust computational framework, therefore, is proposed to alleviate these difficulties. The framework is particularly suited to systems with uncertainties in the use of spares during maintenance interventions, and where these spares are characterized by delayed availability. It is provided with a series of generally applicable multistate models that adequately define component behavior under various maintenance strategies. System operation is reconstructed from these models using an efficient hybrid load-flow and event-driven Monte Carlo simulation. The simulation's novelty stems from its ability to intuitively implement complex strategies involving multiple contrasting maintenance regimes. This framework is used to identify the optimal maintenance strategies for a hydroelectric power plant and the IEEE-24 RTS. In each case, the sensitivity of the optimal solution to cost level variations is investigated via a procedure requiring a single reliability evaluation, thereby reducing the computational costs significantly. The results show the usefulness of the framework as a rational decision-support tool in the maintenance of multicomponent multistate systems.

ORCID iDs

George-Williams, Hindolo and Patelli, Edoardo ORCID logoORCID: https://orcid.org/0000-0002-5007-7247;
  • Item type:Article
    ID code:70384
    Dates:
    Date
    Event
    1 December 2017
    Published
    8 August 2017
    Accepted
    Notes:© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Science > Mathematics
    Department:Faculty of Engineering > Civil and Environmental Engineering
    Depositing user: Pure Administrator
    Date deposited:31 Oct 2019 15:23
    Last modified:23 Dec 2024 01:19
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/70384
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