The WINDY domain – a challenging real-world application of integrated planning and scheduling

David Pattison, Wenbin Xie, Francis Quail

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

3 Citations (Scopus)
52 Downloads (Pure)

Abstract

Many renewable sources of energy can harness greater uptime
and power output when located in remote and potentially
hostile locations. One example of this is wind power,
wherein turbines positioned at offshore locations can experience
higher and more sustained windspeeds than their onshore
counterparts. However, these traits also lead to increased
load and degradation upon components, which in
turn means that regular maintenance is required. While onshore
maintenance costs are relatively trivial, the costs associated
with offshore maintenance can be several orders-ofmagnitude
greater.
Traditionally, the scheduling of these repairs is performed by
hand using a set of pre-determined plans for specific faultcategories
(e.g. trivial/minor/major component replacement).
This paper formulates this problem as a PDDL domain which
encapsulates all of the individual pre-defined plans in a single
representation, such that multiple levels of response can
be integrated in a single plan. The domain presented is complex
in that it contains not only numeric and temporal planning
aspects, but that a subset of the domain is heavily geared
towards pure scheduling. We include performance results on
how a state-of-the-art planner performs on various example
scenarios.
Original languageEnglish
Title of host publicationProceedings of the Twenty-Third International Conference on Automated Planning and Scheduling
EditorsDaniel Borrajo, Subbarao Kambhampati, Angelo Oddi, Simone Fratini
Number of pages5
Publication statusPublished - 2013

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Keywords

  • planning
  • wind energy
  • scheduling
  • windy
  • renewable energy

Cite this

Pattison, D., Xie, W., & Quail, F. (2013). The WINDY domain – a challenging real-world application of integrated planning and scheduling. In D. Borrajo, S. Kambhampati, A. Oddi, & S. Fratini (Eds.), Proceedings of the Twenty-Third International Conference on Automated Planning and Scheduling