Smart Grid Equipments Condition Monitoring Based on Rough Set

Abstract

In order to assess the condition of smart grid equipment in real time, a method of information processing for condition monitoring based on rough set theory is presented. The condition monitoring decision table is established by collecting different kinds of information of intelligent circuit breaker which is regarded as the condition attribute set. Then the approximate minimum reduction is found after using the discernible matrix algorithm of attribute reduction in rough set theory to reduce the attribute of the decision table and value reduction to eliminate the redundancy knowledge. Finally the condition classification rules which can provide the real-time basis for operation and maintenance of smart grid are extracted.