The role of AI planning as a decision support tool in power substation management
Bell, K.R.W. and Smith, A.J. and Coles, A.I. and Fox, Maria and Long, Derek (2009) The role of AI planning as a decision support tool in power substation management. AI Communications, 22 (1). pp. 37-57. ISSN 0921-7126 (http://dx.doi.org/10.3233/AIC-2009-0443)
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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.
ORCID iDs
Bell, K.R.W. ORCID: https://orcid.org/0000-0001-9612-7345, Smith, A.J., Coles, A.I., Fox, Maria and Long, Derek;-
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Item type: Article ID code: 15011 Dates: DateEventJanuary 2009PublishedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering
Bibliography. Library Science. Information Resources > Information resources > Electronic information resourcesDepartment: Faculty of Science > Computer and Information Sciences
Faculty of Engineering > Electronic and Electrical Engineering
Faculty of Science > Strathclyde Institute of Pharmacy and Biomedical SciencesDepositing user: Strathprints Administrator Date deposited: 22 Jun 2010 14:01 Last modified: 11 Nov 2024 09:10 URI: https://strathprints.strath.ac.uk/id/eprint/15011