Application of an Expert System for Planning of Primary Restorative System

ABSTRACT Power system restoration following a massive blackout starts with re-energizing PRSs(Primary Restorative Systems) at first. As power systems have been gradually enlarged and become more complex, configuration of power systems has been changed, so PRSs are required to be reassigned and evaluated every year. So far it has been decided by knowledges and experiences of corresponding experts to analyze and evaluate them. This paper presents an expert system that finds feasible paths using analytic and heuristic knowledge from PSS/E data, and suggests an optimal PRS depending on the condition of Ferranti effect or a reactive capability margin. This system was tested in Korea Electric Power grid system, and showed a promising result