Aiming at the problems of low accuracy of determining attack nodes and large detection error in the wormhole attack detection method of power communication sensor networks, a wormhole attack detection method based on hops is proposed. Firstly, the working process of power communication sensor network nodes is analyzed; Regard the node area as a closed circle, set the distance between nodes and communication radius in the area, and determine the wormhole attack location; Then, introduce the hop number, replace the linear distance between attack nodes with the hop distance of hop number, the centroid position is calculated by polygon calculation, the node hop distance is determined, and the wormhole attack probability is calculated; Finally, the average hop distance between wormhole attack nodes is calculated, and the path hop distance of attack behavior is corrected with the help of objective function and minimum mean square error criterion to complete attack detection. The experimental results show that the detection accuracy of this method is 98%, and the detection error is only 2.6%, so it has application value.

Based on the theory of fractional differential equations, this paper proposes a simple recursive, iterative scheme for power flow calculation in pure radial networks. The paper determines the network hierarchy formed by the ADT stack through breadth theory. This helps us define the branch sequence of the forward and backward generation in the power flow calculation of the smart distribution network. We ensure that the Jacobian matrix remains unchanged in the smart distribution grid power flow calculation. The interval model is more practical and computationally simpler than the point model. The research results show that the power flow calculation method is efficient based on the fractional differential equation.

The distribution network structure is complex, the equipment is numerous, and the frequency of pattern and mode changes is high. These characteristics lead to certain difficulties in power distribution automation operation and maintenance graph management. This paper adopts the mathematical statistics method of machine learning to analyze the multi-version hierarchical subscription mechanism of the distribution network graph. We conduct a breadth search on the distribution network graph to realize the automatic topology of the network. This paper implements a dynamic display system of distribution network monitoring information. The research results show that the graph-digital-analog integrated system has practical significance for data integration, application integration, and interoperability between systems.