Digitization system and method for energy internet deployment management

Abstract

The invention discloses a digital system and method for energy internet deployment management, an energy subsystem couples a power system with a natural gas network and a heat supply network to form a centralized and distributed energy service network, and an information subsystem comprises an information acquisition layer, an information transmission layer and an information processing layer. A business subsystem is used for sharing energy consumption data to users, carrying out energy-saving monitoring evaluation and carrying out energy efficiency optimization, and the multi-stream fusion subsystem is used for fusing energy streams, information streams and business streams, fusing an information system with the electric power system, a natural gas system and an electrified traffic system, coordinating multi-coupling collaborative production and operation and carrying out energy efficiency optimization. An internal and external fusion subsystem is used for coordinating multivariate data main bodies with the outside and carrying out data real-time sharing and interaction. The system realizes equipment-level seamless access, system-level optimal configuration and two-way interaction of energy information, and fully dispatches distributed energy and energy storage equipment spread across the supply end and the demand end of the system.

Description

technical field [0001] This application relates to the technical field of energy management, in particular to a digital system and method for deployment management of the Energy Internet. Background technique [0002] Data multi-subject coordination is an important feature of the Energy Internet. With the upgrading of data collection, data analysis, and data utilization technologies, data is used as the fusion point to coordinate various internal businesses and external needs of the power system. [0003] At present, the following problems exist for the construction of energy Internet in the park: [0004] 1. At the bottom layer of the data, there are a lot of data standardization issues, data rights and responsibilities issues, data channel issues and data update issues. At present, the collected data lacks unified standards, who is responsible for different data, and the authority and responsibility mechanism is not clear, which leads to confusion in data collection and a...

AI Technical Summary

Problems solved by technology

Lack of updating of old data has caused many data to lose the advantage of real-time performance before they come into play

[0005] 2. Data quality control methods and technologies are relatively single, and there are no effective control measures for the source of data quality; normal data governance scenarios need to be expanded

In the era of big data, if effective data management cannot be carried out, the obtained data will not play its due role at all.

At the same time, the information security system f

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