Abstract

Distributed self-healing system of distribution network is limited by the adaptability of the network topology and the operation mode. The configuration and maintenance of system are difficult. In order to solve the problems, self-identification for distributed distribution network topology and state is put forward. The mechanism of distributed dynamic topology self-identification is discussed. The intelligent distributed devices identifies the topology information of the whole line from the initial local topology information of a single node. A data model of network frame topology and its real-time operation status is established. Each switch in the distribution network is considered as an node, the zone separated by the node in the distribution network is considered as a section, and each node has a distributed device in logical meaning. The distributed devices exchange information through communication network each other. Based on the corresponding initial topology data set and the real-time position state of the node, by the distributed topology identification module, the anti-maloperation check of topology information configuration, the topology status self-identification module, the algorithm analysis of topology status abnormality check module, each distributed device can automatically identify topology structure from distributed single node to global power grid and real-time topology statuses of all nodes. These information gained by self-identified mechanism include other nodes and attributes, sections and properties, power paths on the line. At the same time, the self-identifying mechanism of topology state and the criteria of each state are also proposed. The specific details of self-identification method is illustrated through the example of the complex distribution network. Results show that the plug and play of distributed devices in the system can be fulfilled through simple configuration, and the distributed self-healing system of distribution network has self-adaption ability for multiple types of grid and operation mode based on the method proposed in this paper. The difficulty of the system configuration and the cost of the system maintenance can be greatly decreased.

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