Optimal configuration method of edge computing unit considering computing load balancing in fault location of power distribution grid*

Abstract

With the improvement of the automation level of the power distribution grid, millions of power distribution equipment are perceived, and the distribution and usage data is heterogeneous and massive. As a result, real-time fault location is very important to ensure the stable supply of electric energy. In order to improve the emergency repair efficiency of distribution network and comprehensively improve service quality, this paper proposes an optimal configuration method of edge computing unit for fault location in distribution network. First, the optimal number of edges is solved based on the economic and real-time communication indicators. Next, spectral clustering combined with k-means algorithm determines the jurisdiction of each edge. Then, the jurisdiction of the edge is corrected according to the computing load balance of the entire network. Finally, IEEE 33-node and IEEE 69-node systems are used as examples for verification. Simulation results show that compared with the traditional method, the equilibrium of the proposed method is increased by 69. 8%, the total computational load is reduced by 27. 2%, and the rapid location of faults in the distribution network can be better realized, so as to ensure the safe and stable operation of the distribution network.