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.
- applications of planning
- decision support
- autonomous control
Bell, K. R. W., Smith, A. J., Coles, A. I., Fox, M., & Long, D. (2009). The role of AI planning as a decision support tool in power substation management. AI Communications, 22(1), 37-57. https://doi.org/10.3233/AIC-2009-0443