An Automation Terminal Optimal Configuration Method Based on Knowledge Graph for New Distribution Networks

Abstract

To ensure the safety and dependability of the new distribution network, the need for distribution automation terminals develops quickly, which contributes to the high cost of protection and building of distribution network. In this paper, a new method for optimizing the automation terminal configuration based on knowledge graph is proposed. In this method, redundant lines are calculated by establishing knowledge graph of distribution network, and the automation terminal of distribution network is rationally allocated. The input of the automation terminal is lowered, and the cost is reduced on the premise of assuring the reliability and sensitivity of distribution network protection. The approach first creates the knowledge graph of distribution network, which can give accurate data and clear topology diagram of power network and puts forward the corresponding judgment foundation. On this basis, the complicated distribution network is layered, and the constraint requirements are established in layers. The redundant lines are obtained using improved simulated annealing particle swarm optimization. Finally, the simulation and laboratory tests show that the proposed method can effectively avoid the impact of new energy access on the optimal configuration of distribution network automation terminals. The optimal configuration can ensure the reliability of fault response and the accuracy of fault location, and effectively reduce the cost of protection configuration in the new distribution network with distributed generation.