Abstract

Digitization plays a more and more important role in the development of power grid. Traditional technical and economic evaluation methods are difficult to meet the needs of Digital Construction Evaluation under the new situation. Based on Zachman and other enterprise architecture theories, aiming at the business demand scenarios such as basic resource operation, power data value-added services, digital platform ecological construction, this paper studies the optimization technology of power grid digital architecture meta model, including business architecture, data architecture, application architecture, technology architecture meta model optimization, etc. Research on dynamic analysis technology of intelligent quantitative control, including technology and economic analysis and evaluation technology of digital economic benefits of power grid enterprises for multi application scenarios, digital technology and economic evaluation model based on multi-dimensional index sensitivity analysis, technology and economic analysis model of multi-source correlation between business demand scenarios and digital architecture, and dynamic analysis model technology of intelligent quantitative control. This paper innovatively studies the relevance of business demand scenarios, technical and economic analysis rules and enterprise digital architecture, and constructs a multi-source digital benefit analysis model based on the integration of variables and factors. According to the different business scenarios such as basic resource operation, power data value-added services, and digital platform ecological construction, this paper analyzes the relationship between business demand scenarios and digital architecture, Dynamic adjustment of technical and economic evaluation index and weight can more accurately complete the digital economic benefit evaluation of power grid enterprises.

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