The role of AI planning as a decision support tool in power substation management

K.R.W. Bell, A.J. Smith, A.I. Coles, Maria Fox, Derek Long

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

The management of power substations is a challenging task, with two opposing criteria: to reduce wear-and-tear on equipment and to ensure the voltage remains within a specified range. At present, a two-stage process is used. Voltage targets are determined for each time of day by electrical engineers using a time-consuming and costly manual process. Then, a reactive control system at the substation is used to satisfy these targets. In this article, we present a novel application of AI planning as part of an intelligent automated system for devising voltage targets. Within the system, both the cost and fault-tolerance implications of voltage target decisions are considered, and hence an efficient and effective set of voltage targets is produced. Using AI planning affords a great deal of flexibility and we show how the system can handle known exogenous events for a given day to reduce forecasted operational costs.
Original languageEnglish
Pages (from-to)37-57
Number of pages20
JournalAI Communications
Volume22
Issue number1
DOIs
Publication statusPublished - Jan 2009

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Keywords

  • applications of planning
  • decision support
  • autonomous control

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