A Potential Function Based Malicious Node Identification Method for Smart Meter System

Abstract

The invention discloses a potential function-based method for identifying the malicious nodes of an intelligent electric meter system. The method comprises the following steps: dividing an intelligent electric meter into an electric meter to be measured and a witness electric meter; reflecting the characteristics of the positions of electric meter nodes by utilizing physical layer channel information; extracting the channel information of the electric meter to be measured by communication between the electric meter to be measured and the witness electric meter; calculating the position values of the electric meter to be measured according to the channel information; processing the position values by a potential function so that the potential function of the electric meter node reflects the position information of all electric meter nodes with the identity (ID) the same as that of the electric meter node; integrating the position values of all the electric meter nodes, thus realizing the identification of the malicious nodes of the intelligent electric meter system. The method is high in recognition rate; the calculation quantity and the additional communication rate of all intelligent electric meters are very low, and most calculation quantity is completed in a control center, thus the method is especially suitable for the intelligent electric meter system.

Description

technical field [0001] The invention relates to a smart grid, in particular to a method for identifying a malicious node in a smart meter system based on a potential function. Background technique [0002] The problems of traditional power grid in terms of energy utilization efficiency and environmental protection are more prominent, such as: "power shortage" during peak use, a series of problems of low equipment utilization caused by untimely information acquisition, and a series of problems that affect the energy deployment of power resources and Energy delivery is a big hindrance. In this context, smart grid technology emerges as the times require. Smart grid closely links the production, transmission, distribution and use of electric energy through digitalization and informationization, and realizes "economical, efficient, flexible and efficient" through intelligent control. Interactive, friendly and open, clean and environmentally friendly" new generation power system,...

AI Technical Summary

Problems solved by technology

The smart meter system penetrates into thousands of households, and at the same time, it is usually a device with very limited resources. However, the existing malicious node judgment method usually adopts the threshold method, such as figure 1 As shown, the square node is captured by the meter ca i Generated malicious meter cl i , apparently, the captured meter ca i and malicious meter cl i In different locations, waiting for them but only one ID number, for example, malicious electric meter cl 1 and cl 3 is the captured meter ca 1 Generated, if you can know that they are in different locations but have the same ID number, then a malicious node attack called Sybil has occurred

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