Abstract
The characteristics of power system restoration (its combinational aspects, use of knowledge from a wide variety of origins and of different types and number of criteria to satisfy) make it a difficult problem. As a solution, a number of research teams are considering the use of expert systems to generate restoration plans. Promising results have already been obtained. Yet most expert systems remain in the prototype stage. One reason seems to be that the study of support systems for knowledge-based behavior (unable to describe with any rule) is insufficient. This paper begins by analyzing power system restoration based on the human performance model and discusses knowledge-based behavior as a high conceptual level human performance to solve this problem with combinational aspects. The paper then reports on its applications to the trunk line power network dispatching center. Finally the paper verifies the relation between knowledge-based behavior and designed human interfaces with a power network restoration case-study.
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