Rough Set Theory Applied to Fault Diagnosis Rule Extraction for Distribution System

Rapid fault diagnosis in distribution system is a significant task for reducing power outage time and service reliability. Aiming at reduction of decision table, the key part of rough set based approach for fault diagnosis of distribution system, a heuristic reduction algorithm based on attribution length and frequency and value reduction method are proposed. Meanwhile, an Euclid matching method is introduced when some information is lacking. Principal of the whole algorithm is clear and diagnostic rules distilled from the reduction are concise. Moreover, it needs no calculation towards discernibility matrix, and thus avoids the corresponding NP hard problem. The whole process is realized by MATLAB. A simulation example shows that the method can diagnosis single fault and multi-fault efficiently, and has the potential of on-line fault diagnosis.