Communication network operation and maintenance platform based on artificial intelligence data analysis

Abstract

Distribution network communication operation and maintenance platform rely on communication network. The distribution network substation needs to obtain distribution network operation data configuration through communication network. The reliability of communication network directly affects the protection performance. Therefore, there is a need to establish a communication network that is reliable and meet protection performance requirements. In order to improve the engineering application of distribution network communication operation and maintenance platform, it is necessary to quantitatively evaluate the data quality of the distribution network communication operation and maintenance platform. Based on the construction background of smart distribution network, this paper studies the architecture of distribution network communication operation and maintenance platform. Starting from the requirements of information interconnection, intercommunication, interoperability and plug-and-play, the description specification of distribution network communication operation is established according to the principle of artificial intelligence data analysis. The unified modeling of protection and control system is realized. By analyzing the business composition of regional protection and self-healing control system of distribution network, the size of network information flow is quantitatively evaluated, which provides a basis for the engineering application of regional protection and self-healing control system of the distribution network. Experimental analysis shows that compared with the traditional method, the comprehensive performance of this method is improved by 10%. The partial performance is improved by 40%, which can support the master-slave regional protection and control business system.