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
Full text not available in this repository. (Request a copy from the Strathclyde author)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.
| Item type: | Article |
|---|---|
| ID code: | 15011 |
| Keywords: | applications of planning, decision support, autonomous control, Electrical engineering. Electronics Nuclear engineering, Electronic information resources |
| Subjects: | Technology > Electrical engineering. Electronics Nuclear engineering Bibliography. Library Science. Information Resources > Information resources > Electronic information resources |
| Department: | Faculty of Science > Computer and Information Sciences Faculty of Engineering > Electronic and Electrical Engineering Faculty of Science > Strathclyde Institute of Pharmacy and Biomedical Sciences |
| Related URLs: | |
| Depositing user: | Strathprints Administrator |
| Date Deposited: | 22 Jun 2010 15:01 |
| Last modified: | 12 Mar 2012 11:00 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/15011 |
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