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Using type-2 fuzzy logic systems to infer the operative configuration of distribution networks

This work presents an approach aiming at inferring the operative configuration (OC) of distribution networks. In order to attain this objective, the OC problem is decomposed in two parts. In the first part, the available real-time data and expert knowledge are integrated by means of rule-based Type-2 Fuzzy Logic Systems. As a result, an approximate initial solution is obtained. In the second part, the initial solution is dynamically tuned using customer trouble calls. This is done by means of an approach based on fuzzy relational equations and fuzzy abductive inference. At every stage, all plausible solutions are calculated in order to obtain a complete outlook of possible options. The performance of the methodology is evaluated on a real distribution feeder and the results are presented.