Development of Restoration System Based on Human Performance Model

Abstract

A stable supply of power is required from power systems as the importance of electrical energy increases. Particularly in the case of high voltage systems (500, 275, 154 kV bulk power systems), this requirement is high. There are, however, cases when power system faults cannot be avoided. Accordingly, it is very important to restore power systems quickly and safely if these failures happen. The characteristics of the power system restoration (its combinatorial aspects, use of knowlege from a wide variety of origins and of different types, number of criteria to satisfy) make it a difficult problem, for which the use of expert systems to generate restoration plans is being considered by many reserch teams, and promising results have already been obtained. But yet most of the systems stay in a prototype stage⁽¹⁾. One of the reasens seemes the studies of support system for knowledge-based behavior (unable to describe with any rule) are insufficient.
This paper begins by analyzing the power system restoration based on the human performance model⁽⁶⁾ and discuss the knowledge-based behaviour that is a high conceptual level human performance to solve the problem with combinatorial aspects. Then the application for the trunk line dispatching center is reported. Finally the relations between knowledge-based behavior and the designed human interfaces are verified with power networks restoration case-study.