Author(s)

I.E. Hopley, T. Holden & G.P. Wilhelmij

Abstract

Al-based decision support for power system control I.E. Hopley, T. Holden & G.P. Wilhelmij Department of Engineering, Cambridge University, Trumpington Street, Cambridge CB2 1PZ, UK ABSTRACT Most of the published work on decision support has focussed on managerial level problems. With ever increasing system complexity, real time process controllers also clearly require more sophisticated assistance. A typical ex- ample is power system control. Controlling a power network is a difficult task because a power network is a dynamic system functioning in a dynamic environment. During normal operation, controllers are able to cope using the computerised Energy Management System (EMS), but during emergen- cies, the EMS is unable to provide adequate assistance. For the foreseeable future, power system control will still depend on the intervention of human controllers. Thus, there is a real need to support these controllers in their decision making, particularly during

Keywords