Abstract:

The new generation of smart substation integrates some physical device, and the physical link carries more information. The link fault is prone to massive alarm information, which increases the difficulty of link localization. To address this problem, communication link fault localization method adapted to new smart substations under partition collaboration was proposed. A graph-theoretic characterization of communication links is first established. The defined node attributes, node relative positions and link connectivity relationships are characterized by the connectivity matrix. Relying on the alarm information deduction to represent the node fault state, the switch node state reconstruction method is constructed to make up for the lack of alarm monitoring in the switch. Based on the idea of partition collaboration, three types of connection units are constructed and the link localization objective function is established. A multi-strategy improved coati optimization algorithm (MSCOA) algorithm is used to solve and to achieve the link localization objective. The localization results based on a 220kV smart substation show that the method is simple to implement, which converges quickly and covers the network comprehensively. The method can achieve accurate localization for different locations and types of link faults, which will provide critical guidance for on-site troubleshooting.

Key words: smart substation, communication link, connection unit