Research on Fault Self-healing Based on Quick-acting Distributed FA Active Distribution Network

Abstract

With the rapid development of intelligent distribution network, a large number of distributed generation (DG) penetrated into the distribution network, changing the original unidirectional current flow direction of the distribution network, which made the direction of the flow is bidirectional or multi-end flow. When a fault occurs, the traditional centralized feeder automation and in-situ feeder automation solutions have not been able to satisfy fast accuracy requirements and have presented severe challenges to fault self-healing. In view of the existing problems, a control method based on quick-acting faults distributed FA is researched. It uses stacked topology recognition. After detecting current and interacting with the peer-to-peer through GOOSE communication, the smart terminal determines the fault area and jump on the local monitoring switch on the spot. After the fault is isolated, the power supply recovery operation is initiated. Taking a typical distributed power distribution network as an example, the different faults are studied. The experimental finally results show that the scheme can adapt to faults in various situations, and the entire fault self-healing process is controlled within 200 ms.