Results of the development of a knowledge-based system (KBS) for power system restoration are presented. An extensive list of critical constraints and parameters is identified. Based on these constraints and parameters, a goal-driven strategy for system restoration is developed. Part of the strategy is a procedure to determine the generator starting times, which helps maximize the megawatt hour load served over a restoration period. The KBS is implemented in the Knowledge Engineering System (KES) software. Simulations of the KBS are performed with data from the Philadelphia Electric System.
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