Factory electric energy management and control system and method based on side-cloud cooperation

Abstract

The invention relates to a factory electric energy management and control system based on side-cloud cooperation. The system comprises a cloud electric energy management layer, an edge calculation layer, an equipment layer and a power supply side. The invention provides a factory electric energy management and control method based on side cloud cooperation. The method comprises the following steps: 1) forming an industrial field network by field nodes, routing nodes and equipment for executing production tasks in an equipment layer; 2) analyzing and sending production task information data; 3)issuing the STN model of the production field to an edge node; 4) enabling the power supply agent to send the power generation model, the power storage model and the electricity price model to edge nodes; 5) enabling the edge nodes to calculate the electric quantity required for completing the production task; (6) calculating a comprehensive grade value; (7) executing a high grade by an edge nodeand executing a low grade by a cloud electric energy management center, (8) executing a demand response algorithm by the edge node, (9) executing a production task by production equipment according to a calculation result, and executing corresponding schemes by a factory power station, a power storage station and a factory external power supply station according to results.

Description

Technical field [0001] The invention belongs to the field of factory power management and control, and relates to a factory power management and control system and method based on edge-cloud collaboration. Background technique [0002] Edge computing is a distributed and open platform that integrates core capabilities of network, computing, storage, and applications on the edge of the network close to the source of things or data. It provides edge intelligent services nearby to meet the needs of industry digitalization in agile connection, real-time business, data optimization, and application. Key requirements for intelligence, security, and privacy protection. It can be used as a bridge connecting the physical and digital worlds, enabling smart assets, smart gateways, smart systems, and smart services. Because the edge side needs to support multiple network interfaces, protocols and topologies, real-time business processing and deterministic delay, data processing and analysis...

AI Technical Summary

Problems solved by technology

[0006] ①Insufficient real-time performance: The power data information on the factory site is huge. Moving all the power data to the cloud for centralized calculation will cause delays in the transmission of control commands and increase electricity costs.

[0007] ② Power supply - power consumption cannot be jointly controlled: the factory power consumption layer and the factory power supply layer cannot achieve joint control, resulting in insufficient or excess power supply, resulting in increased electricity costs

[0008] ③ Insufficient security: As a centralized computing center, the factory cloud plays a role in centralized scheduling of the entire factory power management and control system. Once faced with security threats, the consequences are extremely serious

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