Research on distributed PV network terminal identification technology based on device fingerprint generation

With the development of information technology and electric power industry, modern power grid system gradually integrates computer intelligent technology. Distributed photovoltaic network, as an important power supply system using new sustainable energy, contains a large number of intelligent terminal equipment, which leads to the distributed photovoltaic network facing more serious security threats. In order to promote the construction of distributed photovoltaic power network security protection system, this paper proposes an intelligent device fingerprint access technology for distributed photovoltaic power network system. Based on adaptive filtering, the device anti-forgery fingerprint is generated, which involves the field of artificial intelligence and network security. Among them, through the innovative combination of the adaptive filtering algorithm NLMS and LMS algorithm, the weighted average optimization of the feature set, combined with the artificial intelligence classification and recognition algorithm, the specific characteristics of the parameters at the convergence of the adaptive filtering technology are achieved, and efficient device fingerprint generation is realized. It can realize the device authentication of the distributed photovoltaic network intelligent terminal equipment access, so as to effectively improve the comprehensive defense capability of the distributed photovoltaic network.