An Assessment Method for Secondary Equipment Condition of 750kV Substations Based on Rough Set and Fuzzy Petri Net

Abstract

As the secondary equipment of 750kV substations have the characteristics like dual protection configuration, a large amount of alarm information and the weak real-time performance on maintenance, an assessment method of substation with redundant protection configuration based on rough sets (RS) and fuzzy Petri net (FPN) is proposed. In this method, the secondary equipment is divided into three regions according to the voltage grade characteristics and each region is divided according to the characteristics of device type. Afterwards, the assessment decision table based on rough set is constructed by using the self-detected information about protection devices and measurement and control devices. Based on this, the assessment model based on fuzzy Petri nets is established and the initial information of the model is determined. Through the use of fuzzy reasoning, a certain assessment result is obtained. Results show that the proposed method reduces the complexity of solving secondary equipment condition, and improve the ability of classification and identification and the efficiency of assessment.