Abstract

This paper presents our results of the development of a knowledge-based system (KBS) for power system restoration. An extensive list of critical constrains 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 MWH load served over a restoration period. The KBS is implemented in the KES software. Simulations of the KBS are performed with data from the Philadelphia Electric system.

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