Power grid user asset value evaluation method and application under the background of artificial intelligence and smart grid

Abstract

In the context of artificial intelligence and smart grids, the decision-making of power grid users’ asset acceptance by power grid companies is critical to their operation and development. The research adopts the method of modeling analysis, and aims to study the method and application of power grid user asset value evaluation in the context of smart grid. Based on the analysis of the characteristics of user assets, the economic impact of user asset value evaluation, the characteristics of power grid user asset value evaluation methods, and the fuzzy comprehensive evaluation method, combined with the principle of constructing power grid user assets evaluation index, a fuzzy comprehensive evaluation method construction model is constructed. Finally, this method is used to evaluate the value of power grid users’ assets. The evaluation results show that the total amount of power assets in the government park is the highest, followed by company assets. From another perspective, the impact of residential parks on the social value of user assets is more prominent, but its economic significance and strategic value are relatively weak. The development and in-depth research is expected to further enhance the customer analysis and accurate power supply capabilities of power companies.