Abstract
This paper describes a knowledge-based system designed to assist electrical distribution system operators in restoring the network after a fault. A hybrid approach that links symbolic and numerical computation algorithms is proposed. Features that depend on system operators’ experience and norms of the utiIity arc included in a knowledge base. The reasoning process is guided by an inference engine with backward chaining strategy. Electrical overload checks are carried out by a simulator based on the method of momentums. The adoption of concepts and data structure borrowed from network flow algorithms leads to the development of a very effcient procedure.
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