The role of AI planning as a decision support tool in power substation management
The role of AI planning as a decision support tool in power substation management
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DOI：
10.3233/aic-2009-0443
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
K. Bell;A. Coles;A. Coles;M. Fox;D. Long
中科院分区：
文献类型：
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作者：
K. Bell;A. Coles;A. Coles;M. Fox;D. Long
变电站的管理是一项具有挑战性的任务，有两个截然相反的标准：减少设备的磨损和确保电压保持在指定的范围内。目前，使用的是两个阶段的工艺。电压目标由电气工程师使用耗时且昂贵的手动过程为一天的每个时间确定。然后，在变电站采用无功控制系统来满足这些目标。在这篇文章中，我们提出了一种新的人工智能规划应用，作为设计电压目标的智能自动化系统的一部分。在该系统中，同时考虑了电压目标决策的成本和容错影响，从而产生了一组有效的电压目标。使用人工智能规划提供了很大的灵活性，我们展示了系统如何处理给定日期的已知外部事件，以降低预测的运营成本。
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.