Application of GCN approach for power distribution system contingency load transfer

The daily load profiles of distribution feeders are determined by using customer information in a customer information system (CIS) and information between customers and distribution transformers in an outage management information system (OMIS) in the Taiwan Power Company (Taipower). Regulating the load distribution among feeders is implemented by the G-coloured nets inference mechanism (GCNIM) in order to improve the operating performance for overloading conditions of distribution feeders, transferring the load among feeders via switching operations proposed by the GCNIM after the fault has been identified and isolated when a distribution system fault occurs. A practical Taipower distribution system, with daily load profiles, is used to perform the computer simulations, and thus demonstrate the effectiveness of the proposed approach. It is found that load distribution among feeders and performance of fault restoration can be improved via switching operations proposed by the GCNIM.