Fault scenario and fault equipment identification within transmission system using intelligent approaches

Abstract

There have been many methods proposed for fault section identification. Fuzzy relation implemented in a form of sagittal diagram offers an advantage in that complex transmission system protection schemes can be well incorporated. However, previous work shows that the method also requires thorough knowledge of system configuration. This thesis proposes an alternative way to apply the sagittal-diagram based method for the fault equipment identification within a transmission system with no requirement of system configuration information. Instead, an outage configurator program has been devised to detect the set of outage elements, that are buses and nodes within a breaker-and-a-half station, assuming that necessary information can be encoded systematically in naming circuit breaker (CB) and protective relay channels of the digital fault recorder (DFR). Then, the proposed fuzzy relation-based algorithm will be used to identify fault equipment, and the rule-based algorithm to differentiate among the set of outage devices, whether each of them is healthy or fault. The algorithm has been tested successfully using digital data of DFR collected when fault occurs in an actual transmission system, including the complex cases with one or two CB failure.