An Expert System for Automatic Restoration of Power Systems Considering Dynamic Constraints to Thermal Plants

Abstract

Application of an expert system is expected to be effective for solving problems in power system restoration. In fact, many papers have been published on expert systems for power system restoration. However, most of these papers consider constraints only at a time section during the restoration process; they do not consider dynamic changes in conditions of generators and other dynamic constraints, which will be crucially important for a practical restoration.
Considering this, the authors have developed a practical expert system for restoration of power systems from blackout. This expert system targets restoration of trunk networks and gives priority to thermal power plants in restoration sequence, considering the existing power systems in Japan, where thermal power generation normally prevails over hydro power generation. The system proposed in this paper has three features; Firstly, to increase restoring source, thermal power plants should be started up earlier than other kind of plants. Secondly, in planning of power system restoration strategy, it is examined by reasoning whether seven general constraints are satisfied. This permits to establish restoration strategy without backtracking. Finally, The knowledge of the automatic restoration system is represented by object, knowledge representation based on objectoriented paradigm. This makes the expert system well maintainable.