Research on automatic optimization configuration strategy based on knowledge base

Distribution automation is of great significance in promoting the optimization, upgrading and development of the power grid system, improving the management level of the distribution network, improving the reliability and quality of the power supply, and is the technical basis for the imple-mentation of the intelligent distribution network. In this paper, the collected massive power data is cleaned and analyzed to build a power database. Based on the power topology structure, combined with artificial intelligence methods, deep learning, semantic recognition and other advanced technologies and expert operation and maintenance rules, the configuration optimization strategy knowledge base of power distribution automation is constructed. Realize knowledge extraction and knowledge discovery of knowledge base, realize automatic output of power distribution automation configuration optimization strategy, and assist operation and maintenance personnel in decision-making management.